#aws cloud training model

[acs-networks-and-technologies]

AWS Cloud Practitioner Training in India - Kickstart Your Cloud Career

As organizations increasingly shift towards cloud-based solutions, expertise in AWS is a valuable asset. Our AWS Cloud Practitioner training in India is your ticket to entering this exciting field. Whether you're an IT professional seeking to upskill or a newcomer intrigued by the potential of cloud computing, our program welcomes all aspiring cloud enthusiasts.

[keploy]

AI Code Generators: Revolutionizing Software Development

The way we write code is evolving. Thanks to advancements in artificial intelligence, developers now have tools that can generate entire code snippets, functions, or even applications. These tools are known as AI code generators, and they’re transforming how software is built, tested, and deployed.

In this article, we’ll explore AI code generators, how they work, their benefits and limitations, and the best tools available today.

What Are AI Code Generators?

AI code generators are tools powered by machine learning models (like OpenAI's GPT, Meta’s Code Llama, or Google’s Gemini) that can automatically write, complete, or refactor code based on natural language instructions or existing code context.

Instead of manually writing every line, developers can describe what they want in plain English, and the AI tool translates that into functional code.

How AI Code Generators Work

These generators are built on large language models (LLMs) trained on massive datasets of public code from platforms like GitHub, Stack Overflow, and documentation. The AI learns:

Programming syntax

Common patterns

Best practices

Contextual meaning of user input

By processing this data, the generator can predict and output relevant code based on your prompt.

Benefits of AI Code Generators

1. Faster Development

Developers can skip repetitive tasks and boilerplate code, allowing them to focus on core logic and architecture.

2. Increased Productivity

With AI handling suggestions and autocompletions, teams can ship code faster and meet tight deadlines.

3. Fewer Errors

Many generators follow best practices, which helps reduce syntax errors and improve code quality.

4. Learning Support

AI tools can help junior developers understand new languages, patterns, and libraries.

5. Cross-language Support

Most tools support multiple programming languages like Python, JavaScript, Go, Java, and TypeScript.

Popular AI Code Generators

Tool

Highlights

GitHub Copilot

Powered by OpenAI Codex, integrates with VSCode and JetBrains IDEs

Amazon CodeWhisperer

AWS-native tool for generating and securing code

Tabnine

Predictive coding with local + cloud support

Replit Ghostwriter

Ideal for building full-stack web apps in the browser

Codeium

Free and fast with multi-language support

Keploy

AI-powered test case and stub generator for APIs and microservices

Use Cases for AI Code Generators

Writing functions or modules quickly

Auto-generating unit and integration tests

Refactoring legacy code

Building MVPs with minimal manual effort

Converting code between languages

Documenting code automatically

Example: Generate a Function in Python

Prompt: "Write a function to check if a number is prime"

AI Output:

python

CopyEdit

def is_prime(n):

    if n <= 1:

        return False

    for i in range(2, int(n**0.5) + 1):

        if n % i == 0:

            return False

    return True

In seconds, the generator creates a clean, functional block of code that can be tested and deployed.

Challenges and Limitations

Security Risks: Generated code may include unsafe patterns or vulnerabilities.

Bias in Training Data: AI can replicate errors or outdated practices present in its training set.

Over-reliance: Developers might accept code without fully understanding it.

Limited Context: Tools may struggle with highly complex or domain-specific tasks.

AI Code Generators vs Human Developers

AI is not here to replace developers—it’s here to empower them. Think of these tools as intelligent assistants that handle the grunt work, while you focus on decision-making, optimization, and architecture.

Human oversight is still critical for:

Validating output

Ensuring maintainability

Writing business logic

Securing and testing code

AI for Test Case Generation

Tools like Keploy go beyond code generation. Keploy can:

Auto-generate test cases and mocks from real API traffic

Ensure over 90% test coverage

Speed up testing for microservices, saving hours of QA time

Keploy bridges the gap between coding and testing—making your CI/CD pipeline faster and more reliable.

Final Thoughts

AI code generators are changing how modern development works. They help save time, reduce bugs, and boost developer efficiency. While not a replacement for skilled engineers, they are powerful tools in any dev toolkit.

The future of software development will be a blend of human creativity and AI-powered automation. If you're not already using AI tools in your workflow, now is the time to explore. Want to test your APIs using AI-generated test cases? Try Keploy and accelerate your development process with confidence.

[silver-wield]

it pisses me off when people say is A is the fantastical girl and Tifa is the normal/ordinary one, in that A supposedly represent the fantasy aspect of the game like fuck off lmao

first of all, aside from her limit breaks, all the magic she uses comes from materia which every character from cloud to tifa to even nanaki can use to do magic so the most she is is a white mage. the only thing that set cetra apart from the humans that descended from them is their supposed connection to the planet in that they sometimes know when people die lol good job you're so special, here's your medal. (they exaggerated the shit out of cetras and what A can do as a half in the remakes, it's all so bullshit i want to disregard it as official fanfiction) this makes A nothing but creepy in my eyes.

there are many playable characters in the game that are fantastical in concept (vincent, nanaki, reeve/cait sith) but if any one of them were to be chosen to supposedly "represent" the fantasy aspect it would be nanaki who ACTUALLY belongs to a fantasy race 🙄

second of all. have you ever seen any real human do what tifa can with her martial arts prowess even though she didn't even get any mako enhancement or something. can normal people easily lift things as hard as real life equivalents of dragons? I have to have a laugh. can any of us fight as lethally as her?

and to support this fantasy girl claim some say A has an ""otherworldly beauty"" to her in comparison to Tifa and Yuffie who are in their opinion "ordinary". is this not the most racist shit you've heard about game characters? yuffie is explicitly designed to look and feel east asian and although there's no "confirmation" for it Tifa's character design (and many aspects of her personality) is the ideal Japanese beauty. Beautiful long black hair, clear pale skin, beautiful eyes and a well proportioned body. they even gave her two EA cultures inspired alternative costumes in remake. when people say that we are supposed to be "in awe of" A's light colored hair and eyes and her feminine coquettish way of dressing I see this as nothing but racism and misogyny. from the way they look to the way they dress and to their skill in battle both tifa and yuffie are amazing and beautiful and there's nothing "ordinary" about them

I do like A's hair and outift design, nomura is a good character designer I have to give it to him, but if you take those things out A herself is not even as pretty as some of the npcs in remake let alone yuffie and tifa lmaooo 😒 the ugliest face and let-down-hair model in game if you ask me

another thing I've seen people use to support this idea is their theme songs. they say A's theme song is the more fantastical sounding one and to that I'll just say go and read what uematsu said about how he wrote the song for a scene in which A waits for Zack's return in the train station. L. M. A. O.

Literally nothing about her is magical girl aside from wearing pink and her limit breaks. People really think all those spells she does in Remake, (basic fire and thunder aoe) are something she does without materia. They're not.

Nobody can use magic without materia. Her only spells are the limit breaks and we haven't seen her use them at all outside of player control. Everybody else was seen using their limit breaks in the final battle of rebirth as a group attack. She never does.

That's why I always say she gets credit for doing fuck all.

Idky people keep calling her gorgeous. Maybe they haven't looked closely at her model. She has a massive forehead, big ears, a large jaw, big chin, huge hands and feet. She's like if you took a mop and gave it limbs.

And this is what Nomura sees as western aesthetics.

Also, he literally recycled a monster as her base.

But sure, she gorgy.

What's funny about her model is they can't give her any other hairstyle because she's so generic anime looking that she isn't recognisable as herself if you change it.

Meanwhile Tifa gets every hairstyle going and you still know it's Tifa because Tifa's model is based on an actual person and that means she has proper facial structure so changing hairstyles doesn't lose her basic appearance.

[cabezadeperro]

Friend as you know I am in the codybly blender rn, may I please request them with 💘 or 💛 whichever you like best!

1 codyblynder for len.

i chose the second one because 1. yellow!, and 2. i do love a good reunion kiss

💛 reunion kiss / relief

---

The sky has yet to lose Bly’s interest. He sits on the tarmac, the base buzzing all around him and his back against one of the many crates waiting to be loaded on a ship and off-world. After so long in space stations and capital ships and conference rooms, Bly’s slowly but surely remembering how it feels to be out in the open. He leans his head back and follows the wispy white clouds with his eyes, the vibration of ships landing and taking off making his bones rattle.

He knows better than to think himself unguarded, but they leave him the hell alone, and he’s come to the conclusion that that’s what matters. The birthers don’t quite know what to make of him; his brothers pity and fear him in equal measure. Bly’s tired: tired of himself, tired of awkward silences, tired of vigilant eyes, and too tired to do anything about the whole thing, so lately he just tries his best to find himself a place to sit and look at the clouds that’s out at the way and think of nothing.

He’s thought more than once about leaving. It wouldn’t be easy, but it wouldn’t be too hard either: the rebels are a paranoid, suspicious bunch, but Bly was trained by the best of the best, and he’s been doing this for a very long time. 

They would hunt him down. They would find him and they would probably kill him, and—and.

There’s a certain kind of bitter, awful pleasure in thinking about that. About being killed, about dying. He has outlived not just his purpose but everything else as well: he’s but a living fossil, slowly ossifying, worn down by time and weather. He doesn’t think he wants to die, not really, but he doesn’t quite know if he wants to keep on living. What’s left to live for?

If he lets himself, he can almost intellectualise the whole thing: what he’s feeling is some kind of compound, overcomplicated grief. He’s grieving nothing and everything at once: the world has ended, and he helped end it, the world keeps on keeping on.

In a way, he misses the simplicity and ease of mind that the chip gave him for the first few weeks, the first couple months: it didn’t last, but while it did, it didn’t let him think. Not about anything that mattered.

And then: Cody’s favourite captain, aiming the business end of his blaster at Bly, and then waking up in that shitty medbay, and then, and then. And then.

Bly exhales. His ass is falling asleep, so he stands up with a groan and shakes himself.

For a supposedly secret base, it sees quite a lot of traffic. Bly leans his elbows on a crate and watches with something that’s not quite interest a ship trying its best to navigate the narrow space between full landing pads. It’s an old GAR model, an ancient larty, the paint on the sides chipped and washed out, the bright colours of the nose painting cheerful and awful under the clear morning light. 

The pilot knows what they’re doing, but it takes them some time, and Bly watches all the while, amused despite himself. 

By the time they finally touch down, he’s sitting on top of the crates, cross-legged, his right elbow on his knee and his chin resting on the palm of his hand, and he’s not that surprised to find out that the shuttle was mostly carrying clones.

What he did not expect is for one of those clones to be Cody.

At first he’s just one of them: he’s wearing an awkward mix of civvie clothes and thermals, his dark hair overgrown, patchy stubble on his jaw, and he looks stiff and angry and out of place. He exits the larty and stop to the side, blinking half-blinded in the bright sunlight, and Bly doesn’t quite realise he’s on his feet until he’s half-way to the ship, his body moving without his input, his legs carrying him closer and closer until it’s too late and Cody has seen him too.

Cody’s on him in seconds. He launches himself at Bly, his arms going around Bly’s neck and his legs wrapping around his hips, and Bly holds them both up the best he can, stumbling on the cracked tarmac, the sun in his eyes and Cody warm and smelly and alive and heavy in his arms. Cody has hidden his face in Bly’s neck, he’s holding Bly so hard it hurts, and Bly would take it and take him forever and a day, if Cody let him.

“I thought—” Bly croaks. Cody peels his face off Bly’s neck. He’s flushed and scowling and his eyes are bright.

“Shut up,” he says, and kisses him, off-centre, their teeth clacking together. Bly snorts. He allows himself to be kissed quiet, and this doesn’t fix anything, this doesn’t fix him, but he kisses back anyway and holds on.

[ninapi]

○●○●○●○●●○●○●○●○●●○●○●○●○●

┊┊┊✧ ⁺ ⁺╚══Tsukishima Ending ╝

Premise: When you like the guy who likes the guy that likes you, things get a little out of hand, when a triangle becomes a circle not just one gets hurt.

Word Count: 2649

•───────•°•❀•°•───────•

Planning a date wasn’t as difficult as Tsukki thought it would be.

At first, he spent hours doing research, he had one chance, just one. 

One chance to impress the girl of his dreams… no that doesn’t sound right, he never really dreamt of any girl, not before you.

But now? He’s never wanted anything in his life this much. He couldn’t risk blowing his only chance.

This was serious and he needed to give his best, but what do girls like? What did you like? An awful feeling of despair filled his lungs after hours of self deprecation, that was until a text message from you lit his phone screen, “Can’t wait to spend time doing something you like! Wish Saturday came sooner :(”

That was it, huh?  As simple as that?

You wanted to get to know him, the real him, the one behind the cool persona he portraits to the world. Anything would be just fine as long you were there, with him.

But what if he wasn’t what you thought he was…? What if you didn’t like his real self?

•───────•°•❀•°•───────•

The weekend came by after long sleepless nights, some giddy, some extremely stressful and depressing.

While you’ve been texting constantly throughout the week, he had been unnecessarily anxious thinking you might as well be texting Yamaguchi at the same time, and that wasn’t right, he shouldn’t be thinking that way and he knew it, but he couldn’t help it, he was terrified of messing up and loosing you, he couldn’t afford to loose the only person that made him smile for real, the only person that made him feel warm and fuzzy inside, the only one he would gladly spend the rest of his existence with.

He was waiting for you outside of the train station, one of his hands stuffed in his back pocket while looking up at the clouds. He was visibly nervous, paler than usual, however, you could see how much effort he had put on for this date; he was looking more than presentable, gorgeous actually, most likely even wearing a new shirt by the look of it. It was clear he was trying to impress you, and that he did.

Not only did he look like a magazine cover model, but he got there so early that even if you arrived half an hour before your scheduled time, he looked like he had been standing there for a while already. 

He was holding a single flower in his other hand, chewing on his lower lip completely oblivious of how long you’ve been just staring at him from afar, a true piece of art.

“Kei~” while ruining the moment seemed improper, you had to let him know you were there, end with his misery.

In reality he was dead scared, he knew there was a chance you wouldn’t come, that you would just text him and tell him you didn’t really want to go through with the date and just stay with Yamaguchi. Irrational fear really, as you’ve been telling him constantly how excited you were for this day to come, but he somehow thought this was some kind of cruel dream and it would end as fast as it started, leaving him feeling empty and lonely as usual.

But not this time, you actually came and oh boy did you look beautiful.

That shy smile, rosy cheeks, the way you swayed as he stared at you like looking at something out of this world.

Even if it felt like a dream, it wasn’t.

You were there, you came to spend time with him, because you wanted to, not because you had to. Because you wanted to see him, as much as he wanted to see you.

“Kei?”

“Oh..yes, hi. Sorry, I…” he had to shake his head out of the somber place it had gone to, “I’m just a little too happy you came…”

That made you smile, he was as nervous as you were, apparently even more, “Of course I came, silly man. You’re so early though! Did I make you wait too long?”

“I read somewhere, a man should never make a lady wait for him..” his face was so serious while saying this, it made you giggle. “Why thank you, milord~”

Ah….you really were all he wanted, he was certain of it now.

“For you, milady~” he handed you the flower in his hand, it wasn’t anything special, he probably picked it up along the way, but nobody had ever given you flowers, it made you emotional for some reason, “It’s beautiful, Kei…Thank you…” bringing it over to your nose, the scene seemed like taken out of a movie to Tsukishima, you were even more beautiful than the flower, sadness filled his chest as the thought of this being your first and last date came to hunt his head.

“I saw it and thought of you…” he mumbled while reaching over for your hand, “Oh yeah? Why’s that?” you didn’t pull away, in fact, you held his hand even tighter. “Pretty things, remind me of you…so I just got it for you...” he said this through gritted teeth, it was hard for him to be honest with his feelings, to let out the things that were actually going through in his head… in his heart. He didn’t want to be seen as a sap, but it was the truth and he couldn’t bare the thought of not telling you how much you’ve been invading his thoughts all this time, not when this could be the last time he can convey his feelings…

“Kei, you’re making me blush!” that smile…it was so worth it, he’d embarrass himself every day of his life just to see it…

Chuckling, he laced his fingers with yours and began walking away from the station, “Maybe that was my goal~”

“Where are we going? You haven’t told me anything about what we’re doing today.”

“Oh well, it’s not like it’s a surprise or anything, I’m not Yamaguchi…but I thought I’d take you to some of my favorite places…” 

“That is wonderful, Kei. I can’t wait! So what are we doing first? I’ve never been to this part of town before.”

The area itself was very nice, barely any people around, surrounded by gardens and fountains, a lovely place to be at for a first date and somehow unexpected that this sort of place was in the list of favorite places of a man like him.

“Well…there’s this museum I like a lot…” he went back to mumbling, he was clearly embarrassed and a bit worried that you’d think it was weird and boring like most people did when he mentioned he liked museums.

“Oh a museum! I love museums!”

“Huh? You do?” saying he wasn’t expecting that answer was an understatement, the grimace on his face wasn’t one of disgust but of surprise rather, no one had reacted that way before.

“Yes! They’re very interesting and they usually have a souvenir shop and a cafe of sorts! So fun!”

He was speechless, none of his friends ever liked going to museums, not even for school projects. Ever since he was a child he had this thing for history, learning about animals, about rocks, space, anything really, museums were so much fun to him and he’s been mocked for it all his life.

“Really? I….” he didn’t know how to put his thoughts into words, he was so thrilled, felt accepted for the first time ever, like he could tell you anything and you’d actually listen, “My dream…has always been to work in a museum…”

“That's a lovely dream, Kei. I thought your dream was being in the pro volleyball league.”

“Well, yes. I do want to be in it. But I kind of want to do both.” not even his mother knew about this, it was a decision he made recently, he wouldn’t give up any of them and was he was proud of it, but didn’t want to be told off. 

“I’m sure you’ll do great, Kei! Have you been looking for job openings already? Is this the place you’d like to work at?” You were so excited, had so many questions, all about him, you wanted to know everything about him, no matter how little the detail was, you constantly asked for his thoughts, his likes and dislikes, you truly cared and that made his heart flutter more than it should.

“Yeah, I hope I get to work here one day…I....would really like that...” the smile on his face was so soft and real, you could clearly see how much this place meant to him.

You two spent a couple of hours walking around the displays, reading the inscriptions together and sharing facts and stories while keeping each other closely, lots of hand holding and lingering touches in a mostly empty museum. Its musky smell would end up becoming your favorite smell as it became his own and engraved in your heart.

You bought matching shirts with nerdy sayings on them and he bought you a little teddy bear with glasses on who looked just like him and you kept making a fuzz out of since you entered the shop.

It was definitely the best date you’ve ever had for multiple reasons, he was in his element, happy, excited to show you around, tell you all about the facts he’s gathered thought out his lifetime, he held you so softly as if you’d break at any moment, as if reality would crash if he was too rough, as if it would all disappear if he’d let go and had to make the most out of his every second. He made you feel cherished, wanted, loved even, in ways you never felt before.

After the museum, he took you for brunch at a small cafe nearby, the old lady who ran the shop knew what his usual order was and brought it to you without even asking, as if she was his grandma. Such a warm sight, he was so relaxed and content that he looked like someone entirely different from the guy you first met, a gentle smile and crinkly eyes, almost like a child having a great day at Disneyland. Your heart was racing at the mere sight of him sipping on some juice and at that moment you knew there was no need to continue with this game of sorts.

“Kei…”

“Hm? Want some ketchup? Let me get it for you is by the counter.” your hand reached for his wrist before he could get up, a confused look in his eyes. “It’s not ketchup…”

The terrified look in his face made your heart break a little, he was still afraid you wouldn’t choose him…”It’s not ketchup I want…” his hand held yours tightly, you could feel him shaking with fear, “(Y/N)…the day isn’t over yet, please…”

“Hey…hey…it’s alright…” your sweet smile made his eyes fill with a shiny layer of tears, he wasn’t going to cry in front of you, of course he wasn’t, but he really didn’t want you to go…”I…I…we can do something you like next! Please…don’t…not yet…”

“Kei…is you I want, baby.”

“You… what….?” his eyes who were on his half eaten sandwich all this time finally met yours, a tear threatening him to come out if he dared to blink.

“You heard me. I don’t want this ‘game’ of yours anymore. I made my choice…”

“You...you did…?” 

“Yeah, I…I’ve been crushing on Yams for a while now and we do have lots of fun together, I am not going to lie to you, you’ve seen it with your own eyes…

But this week, we’ve been texting all day and talking on the phone, I..I realized I would just stare at the phone like an idiot waiting for you to get out of practice and tell me how your day had been…noticed how I’d even shower faster at night just so we could talk on the phone sooner…and today…today made everything as clear as water to me…” his grip on your hand grew tighter, hope radiating from his entire body.

“We do have a lot of fun together too, huh…?” smiling softly at you, he reached over for your face with his other hand, having the need to feel more of you, even if it was a little bit.

“Yeah…we do…” leaning onto his touch, you returned his smile, giggling a bit…”What is it, weirdo?”

“You have ketchup on your nose…” you cleaned his nose with a napkin, smiling tenderly at him.

“I totally didn’t…”

“Oh you did alright…but that just makes me like you even more…you’re so silly…” 

“God, you’re so weird…but that’s one of the reasons why I love you…” the world around you two just disappeared at that moment. 

“I love you too, Kei…well I think I do. Never been in love before…” the little giggles bubbling out of your chest made him feel like he was the only man alive, like nothing could disrupt this moment of happiness, like a soft and gentle cloud hugged you both and kept you safe from anything that could go wrong.

“Yeah…?” you just nodded at him while smiling, “This is gonna be tough, isn’t it…?" while he was incredibly happy right now, the imminent conversation with his best friend was something he wasn’t looking forward in the slightest and a reality you must deal with sooner rather than later.

“I told him already…kinda…” that surprised him, he noticed Yamaguchi had been off the past couple of days but he thought it was just because of your upcoming date, not because something had actually happened.

“What did you tell him?”

“That I didn’t think it was going to work between me and him, that I had grown attached to you and that I was sorry for hurting him…that I hoped we could still be good friends...” the sadness in your eyes matched his, it’s not like he wanted his best friend to have a double broken heart, he knew he very well could have been the one to be going into a world of despair right about now if it was the other way around.

“I never meant to steal his girl…I…I just…had never felt anything like this before…you…you became everything to me…” his words were so sincere it made it difficult for you not to cry.

“I know, baby…I know…” you were always so accepting, he should feel real bad for hurting his friend, and he did feel bad about it, but he loved you so much, he couldn’t help the intense surge of happiness within him.

“Can I…kiss you…?” the lady from the cafe could be heard giggling bashfully on the background while she closed the door to give you more privacy, making you smile. “Of course you can…”

The kiss was like nothing you’ve ever felt before, while Tsukki’s first kiss was easy to top, you had your fair share of kisses in the past, but none of them quite like this one.

His heart and soul were poured into it, felt like fresh drops of rain falling on your heated skin, like a wave of love hitting you right in the chest, like you could just not have enough of this man and his shaky tender lips. While it was short lived, it conveyed all his feelings for you at once, making you tear up in the middle of the kiss.

Hurting Yamaguchi was never in your plans and neither in his, but life tends to play dirty some times, and love can find us anywhere, even in someone else’s arms. 

And Tsukishima Kei found the love of his life knocking at his apartment door.

○●○●○●○●●○●○●○●○●●○●○●○●○●

Previous Chapter Masterlist

[christianbale121]

AI Agent Development: How to Create Intelligent Virtual Assistants for Business Success

In today's digital landscape, businesses are increasingly turning to AI-powered virtual assistants to streamline operations, enhance customer service, and boost productivity. AI agent development is at the forefront of this transformation, enabling companies to create intelligent, responsive, and highly efficient virtual assistants. In this blog, we will explore how to develop AI agents and leverage them for business success.

Understanding AI Agents and Virtual Assistants

AI agents, or intelligent virtual assistants, are software programs that use artificial intelligence, machine learning, and natural language processing (NLP) to interact with users, automate tasks, and make decisions. These agents can be deployed across various platforms, including websites, mobile apps, and messaging applications, to improve customer engagement and operational efficiency.

Key Features of AI Agents

Natural Language Processing (NLP): Enables the assistant to understand and process human language.

Machine Learning (ML): Allows the assistant to improve over time based on user interactions.

Conversational AI: Facilitates human-like interactions.

Task Automation: Handles repetitive tasks like answering FAQs, scheduling appointments, and processing orders.

Integration Capabilities: Connects with CRM, ERP, and other business tools for seamless operations.

Steps to Develop an AI Virtual Assistant

1. Define Business Objectives

Before developing an AI agent, it is crucial to identify the business goals it will serve. Whether it's improving customer support, automating sales inquiries, or handling HR tasks, a well-defined purpose ensures the assistant aligns with organizational needs.

2. Choose the Right AI Technologies

Selecting the right technology stack is essential for building a powerful AI agent. Key technologies include:

NLP frameworks: OpenAI's GPT, Google's Dialogflow, or Rasa.

Machine Learning Platforms: TensorFlow, PyTorch, or Scikit-learn.

Speech Recognition: Amazon Lex, IBM Watson, or Microsoft Azure Speech.

Cloud Services: AWS, Google Cloud, or Microsoft Azure.

3. Design the Conversation Flow

A well-structured conversation flow is crucial for user experience. Define intents (what the user wants) and responses to ensure the AI assistant provides accurate and helpful information. Tools like chatbot builders or decision trees help streamline this process.

4. Train the AI Model

Training an AI assistant involves feeding it with relevant datasets to improve accuracy. This may include:

Supervised Learning: Using labeled datasets for training.

Reinforcement Learning: Allowing the assistant to learn from interactions.

Continuous Learning: Updating models based on user feedback and new data.

5. Test and Optimize

Before deployment, rigorous testing is essential to refine the AI assistant's performance. Conduct:

User Testing: To evaluate usability and responsiveness.

A/B Testing: To compare different versions for effectiveness.

Performance Analysis: To measure speed, accuracy, and reliability.

6. Deploy and Monitor

Once the AI assistant is live, continuous monitoring and optimization are necessary to enhance user experience. Use analytics to track interactions, identify issues, and implement improvements over time.

Benefits of AI Virtual Assistants for Businesses

1. Enhanced Customer Service

AI-powered virtual assistants provide 24/7 support, instantly responding to customer queries and reducing response times.

2. Increased Efficiency

By automating repetitive tasks, businesses can save time and resources, allowing employees to focus on higher-value tasks.

3. Cost Savings

AI assistants reduce the need for large customer support teams, leading to significant cost reductions.

4. Scalability

Unlike human agents, AI assistants can handle multiple conversations simultaneously, making them highly scalable solutions.

5. Data-Driven Insights

AI assistants gather valuable data on customer behavior and preferences, enabling businesses to make informed decisions.

Future Trends in AI Agent Development

1. Hyper-Personalization

AI assistants will leverage deep learning to offer more personalized interactions based on user history and preferences.

2. Voice and Multimodal AI

The integration of voice recognition and visual processing will make AI assistants more interactive and intuitive.

3. Emotional AI

Advancements in AI will enable virtual assistants to detect and respond to human emotions for more empathetic interactions.

4. Autonomous AI Agents

Future AI agents will not only respond to queries but also proactively assist users by predicting their needs and taking independent actions.

Conclusion

AI agent development is transforming the way businesses interact with customers and streamline operations. By leveraging cutting-edge AI technologies, companies can create intelligent virtual assistants that enhance efficiency, reduce costs, and drive business success. As AI continues to evolve, embracing AI-powered assistants will be essential for staying competitive in the digital era.

[buysellram]

Efficient GPU Management for AI Startups: Exploring the Best Strategies

The rise of AI-driven innovation has made GPUs essential for startups and small businesses. However, efficiently managing GPU resources remains a challenge, particularly with limited budgets, fluctuating workloads, and the need for cutting-edge hardware for R&D and deployment.

Understanding the GPU Challenge for Startups

AI workloads—especially large-scale training and inference—require high-performance GPUs like NVIDIA A100 and H100. While these GPUs deliver exceptional computing power, they also present unique challenges:

High Costs – Premium GPUs are expensive, whether rented via the cloud or purchased outright.

Availability Issues – In-demand GPUs may be limited on cloud platforms, delaying time-sensitive projects.

Dynamic Needs – Startups often experience fluctuating GPU demands, from intensive R&D phases to stable inference workloads.

To optimize costs, performance, and flexibility, startups must carefully evaluate their options. This article explores key GPU management strategies, including cloud services, physical ownership, rentals, and hybrid infrastructures—highlighting their pros, cons, and best use cases.

1. Cloud GPU Services

Cloud GPU services from AWS, Google Cloud, and Azure offer on-demand access to GPUs with flexible pricing models such as pay-as-you-go and reserved instances.

✅ Pros:

✔ Scalability – Easily scale resources up or down based on demand. ✔ No Upfront Costs – Avoid capital expenditures and pay only for usage. ✔ Access to Advanced GPUs – Frequent updates include the latest models like NVIDIA A100 and H100. ✔ Managed Infrastructure – No need for maintenance, cooling, or power management. ✔ Global Reach – Deploy workloads in multiple regions with ease.

❌ Cons:

✖ High Long-Term Costs – Usage-based billing can become expensive for continuous workloads. ✖ Availability Constraints – Popular GPUs may be out of stock during peak demand. ✖ Data Transfer Costs – Moving large datasets in and out of the cloud can be costly. ✖ Vendor Lock-in – Dependency on a single provider limits flexibility.

🔹 Best Use Cases:

Early-stage startups with fluctuating GPU needs.

Short-term R&D projects and proof-of-concept testing.

Workloads requiring rapid scaling or multi-region deployment.

2. Owning Physical GPU Servers

Owning physical GPU servers means purchasing GPUs and supporting hardware, either on-premises or collocated in a data center.

✅ Pros:

✔ Lower Long-Term Costs – Once purchased, ongoing costs are limited to power, maintenance, and hosting fees. ✔ Full Control – Customize hardware configurations and ensure access to specific GPUs. ✔ Resale Value – GPUs retain significant resale value (Sell GPUs), allowing you to recover investment costs when upgrading. ✔ Purchasing Flexibility – Buy GPUs at competitive prices, including through refurbished hardware vendors. ✔ Predictable Expenses – Fixed hardware costs eliminate unpredictable cloud billing. ✔ Guaranteed Availability – Avoid cloud shortages and ensure access to required GPUs.

❌ Cons:

✖ High Upfront Costs – Buying high-performance GPUs like NVIDIA A100 or H100 requires a significant investment. ✖ Complex Maintenance – Managing hardware failures and upgrades requires technical expertise. ✖ Limited Scalability – Expanding capacity requires additional hardware purchases.

🔹 Best Use Cases:

Startups with stable, predictable workloads that need dedicated resources.

Companies conducting large-scale AI training or handling sensitive data.

Organizations seeking long-term cost savings and reduced dependency on cloud providers.

3. Renting Physical GPU Servers

Renting physical GPU servers provides access to high-performance hardware without the need for direct ownership. These servers are often hosted in data centers and offered by third-party providers.

✅ Pros:

✔ Lower Upfront Costs – Avoid large capital investments and opt for periodic rental fees. ✔ Bare-Metal Performance – Gain full access to physical GPUs without virtualization overhead. ✔ Flexibility – Upgrade or switch GPU models more easily compared to ownership. ✔ No Depreciation Risks – Avoid concerns over GPU obsolescence.

❌ Cons:

✖ Rental Premiums – Long-term rental fees can exceed the cost of purchasing hardware. ✖ Operational Complexity – Requires coordination with data center providers for management. ✖ Availability Constraints – Supply shortages may affect access to cutting-edge GPUs.

🔹 Best Use Cases:

Mid-stage startups needing temporary GPU access for specific projects.

Companies transitioning away from cloud dependency but not ready for full ownership.

Organizations with fluctuating GPU workloads looking for cost-effective solutions.

4. Hybrid Infrastructure

Hybrid infrastructure combines owned or rented GPUs with cloud GPU services, ensuring cost efficiency, scalability, and reliable performance.

What is a Hybrid GPU Infrastructure?

A hybrid model integrates: 1️⃣ Owned or Rented GPUs – Dedicated resources for R&D and long-term workloads. 2️⃣ Cloud GPU Services – Scalable, on-demand resources for overflow, production, and deployment.

How Hybrid Infrastructure Benefits Startups

✅ Ensures Control in R&D – Dedicated hardware guarantees access to required GPUs. ✅ Leverages Cloud for Production – Use cloud resources for global scaling and short-term spikes. ✅ Optimizes Costs – Aligns workloads with the most cost-effective resource. ✅ Reduces Risk – Minimizes reliance on a single provider, preventing vendor lock-in.

Expanded Hybrid Workflow for AI Startups

1️⃣ R&D Stage: Use physical GPUs for experimentation and colocate them in data centers. 2️⃣ Model Stabilization: Transition workloads to the cloud for flexible testing. 3️⃣ Deployment & Production: Reserve cloud instances for stable inference and global scaling. 4️⃣ Overflow Management: Use a hybrid approach to scale workloads efficiently.

Conclusion

Efficient GPU resource management is crucial for AI startups balancing innovation with cost efficiency.

Cloud GPUs offer flexibility but become expensive for long-term use.

Owning GPUs provides control and cost savings but requires infrastructure management.

Renting GPUs is a middle-ground solution, offering flexibility without ownership risks.

Hybrid infrastructure combines the best of both, enabling startups to scale cost-effectively.

Platforms like BuySellRam.com help startups optimize their hardware investments by providing cost-effective solutions for buying and selling GPUs, ensuring they stay competitive in the evolving AI landscape.

The original article is here: How to manage GPU resource?

[browniefox]

Alright, more Crisis Core, let's go! This one ended up being REALLY long (we got through two chapters), so I'm putting a read more some ways down so it doesn't kill people's dashes.

The boy said the line!

Yay, Cloud is finally here! He still clearly has the basic infantry model other than the head, but it does mean he stands in the casual almost sassy way they all do haha. In general, it's so weird but cute to see him smiling and laughing. Aw, he's not traumatized yet!

I knew what was coming, but my friend I'm playing with didn't, so it was fun to see her reaction (tho i totally still got so excited anyway haha).

This is just here bc I love them so <3 And then Tseng is also here being a third wheel. The sneaking portion that is right after this I sucked ass at. I couldn't make it five feet without being seen and tossed out, and I just had to wait until the game took pity on me and took the guards away.

Genesis, please I'm begging you just kill Hollander. I do love seeing his hair, once so bright red, getting grayer and darker, how his nice leather jacket is getting all broken, giving a sense that he's not taking care of himself and his things as much as he should be.

My sister has tried to stay more-or-less blind to what happens in Crisis Core (she knows some stuff, I know a little more) but all fics tend to use the same Loveless lines (which makes sense, of course) but I did end up reciting this quote with him bc it's one of my favorites, much to the shock of my sister.

I can't believe Zack really thinks Genesis died tho. Like, the guy has a wing, he can fly, falling is not gonna kill him. I'm still not totally clear what Genesis is trying to achieve, but I've been watching some of ButterBuns CCR videos and she's kind of given me a better sense of Genesis. He's just flailing around, trying to get something, anything, to work. He's a dying man who is desperate and doesn't even know himself exactly what he wants.

HELL YEAH! If the creators weren't cowards they would have let your models touch. Our new thing while playing is being proud of Zack for having two boyfriends and one girlfriend. The boy can get it.

As per usual, my biggest problem with this game is the writing - especially with Angeal, tbh. I guess Angeal is just like Genesis in that he's desperately trying to figure out who he is, monster or man. But every time he talks about being a monster I kind of roll my eyes. He's like an emo teenager. Last chapter I felt like it was getting a better grip and liking for him, but I'm kind of back to just being like 'what's your deal man'.

That being said, I kind of dig his weird monster form! It's a mishmash but super cool, and I love how his arms are folded in front of him. My friend and sister I don't think liked it as much and mostly made fun of it which, fair.

Mostly unrelated, but i really got myself into a big of predicament in that I'm super overpowered, which means I get through battles so quick, which also means I don't get to show off all the limit breaks and summons and such when we're playing ;-; but then I turn it to hard mode and die instantly.

I'm always a sucker for sad sunsets. I might not get Angeal or his deal, but I do at least buy that Zack cares about Angeal. It's kind of like Angeal was too set in his ways of monster vs heroes, and that a monster needs to be killed by a hero. That Zack is the only hero left to kill a monster like him, or that by doing so Zack proves he's a hero. But really all it's done is given Zack trauma and made him more uncertain than ever who he is and what he stands for.

(It kind of reminds me of near the end of Homestuck, when Dave and Dirk are talking, and Dave admits it's possible that Bro was trying to train him, but all it did was make him scared.)

I wish we got to spend more time in the game with Aerith, but at least you get the sense that they do spend more time with each other, especially with Aerith being there for Zack after this.

MY BEAUTIFUL BEAUTIFUL BOY! I wish your limit break looked cooler tho :P

Wait, so are Angeal and Genesis brothers then?? I knew they were connected through Gillian, but I guess how connected never hit me. I mean, Angeal defo has her hair while Genesis has her face, but also I've been imagining and seeing them as boyfriends this whole time???

So many mixed feelings about Zack right now. The first thing is yay, new hair cut! My sister absolutely hated his bangs, so big win for her. I do like that you get to see that, as one of the last remaining Firsts, Zack has started to take on more of a leadership and mentor role for the other SOLDIERs. However, him telling them to protect their SOLDIER honor is weird when Zack doesn't know what that is either. I've felt it, but I am glad Zack himself has acknowledged that he doesn't know what that honor is or what it means. I hope we get to see Zack figure it out. I also like that Zack is kind of unmoored and uncertain now. Puts him in an interesting place for whatever's next.

Beach episode! It is FUCKING INSANE to me that Cissnei just... tells Zack that Aerith is an Ancient. Why? What was the point of that? Cissnei, you can't just say that! I guess it could be seen as her trusting Zack and demonstrating she wants to help him, but it's still so weird. It's nice Zack has been said to be hanging with the turks more, but I wish we could have gotten more of that in game. I don't think he even knows Reno and Rude's names.

BOOO TSENG SHOULD BE IN A SWIMSUIT TOO BOO!

So I know Genesis is still alive, but interesting that this is beign considered since it's Sephiroth's whole deal. Tbh, tho, I'm not sure how I feel about Tseng openly acknowledging that Mako is life. How much is that recognized in general, actually? I mean, people do fade into mako when they die... hm, much to think about.

The chase through the city was so dumb, I've had it with Hollander, how hard can it be to catch and/or kill one guy for real. That being said, I do like how cool the buster sword is, and at the end is Sephiroth :D I'm glad that Zack seems a little bitter towards Sephiroth; they're both mourning in different ways, and it's driven a rift between both of them. But at the same time, they're the closest thing they both have to someone who can understand what they're going through.

Shoutout to Zack's little fidgets :D He's still a restless little puppy, despite it all. Sephiroth and Zack's relationship is just so good and interesting, I need them to hang out more so I can see more of it.

God Genesis is so pretty. Both him and Angeal have fucked up looking wings - which adds to what they're going through - but I actually love it for Genesis. Again, what is this dude's goal? He'll probably tell you once he figured it out himself. I love the reveal that he was also at Junon this whole time. Interesting parallel to how the Firsts fought 'at Junon' altogether and now they can't be further apart.

I need to pet that dog! Is Angeal still alive?? I totally thought he died, he has to be dead, right? Just living on in his copies? Anyway, the dog should be a character who manages to live forever because I love him. Also, laughed so hard when the little Shinra robots came into the church oh my god, it's not supposed to be funny I think but it's hilarious how non-threatening they look.

Wow Kunsel, jealous much?? Also, a little creepy? Is my boyfriend stalking me? If I trusted Kunsel, at this point I'd think he was going to betray me at some point, but I trust him too much for that. It seems more like Kunsel just doesn't know how to say 'I'm worried about you and you should talk to me about what you're going through'. I love Kunsel <3

As usual, this game feels like it goes too fucking fast. It's always one thing after another, nobody's talking or explaining things. Maybe it's because you're expected to do side missions every so often? That would probably break things up a bit more. God, there's such an interesting story here! I just wish it was told better.

Also I've been playing so much of this game and only just learned you can sprint :P

[teqful]

How-To IT

Topic: Core areas of IT

1. Hardware

• Computers (Desktops, Laptops, Workstations)

• Servers and Data Centers

• Networking Devices (Routers, Switches, Modems)

• Storage Devices (HDDs, SSDs, NAS)

• Peripheral Devices (Printers, Scanners, Monitors)

2. Software

• Operating Systems (Windows, Linux, macOS)

• Application Software (Office Suites, ERP, CRM)

• Development Software (IDEs, Code Libraries, APIs)

• Middleware (Integration Tools)

• Security Software (Antivirus, Firewalls, SIEM)

3. Networking and Telecommunications

• LAN/WAN Infrastructure

• Wireless Networking (Wi-Fi, 5G)

• VPNs (Virtual Private Networks)

• Communication Systems (VoIP, Email Servers)

• Internet Services

4. Data Management

• Databases (SQL, NoSQL)

• Data Warehousing

• Big Data Technologies (Hadoop, Spark)

• Backup and Recovery Systems

• Data Integration Tools

5. Cybersecurity

• Network Security

• Endpoint Protection

• Identity and Access Management (IAM)

• Threat Detection and Incident Response

• Encryption and Data Privacy

6. Software Development

• Front-End Development (UI/UX Design)

• Back-End Development

• DevOps and CI/CD Pipelines

• Mobile App Development

• Cloud-Native Development

7. Cloud Computing

• Infrastructure as a Service (IaaS)

• Platform as a Service (PaaS)

• Software as a Service (SaaS)

• Serverless Computing

• Cloud Storage and Management

8. IT Support and Services

• Help Desk Support

• IT Service Management (ITSM)

• System Administration

• Hardware and Software Troubleshooting

• End-User Training

9. Artificial Intelligence and Machine Learning

• AI Algorithms and Frameworks

• Natural Language Processing (NLP)

• Computer Vision

• Robotics

• Predictive Analytics

10. Business Intelligence and Analytics

• Reporting Tools (Tableau, Power BI)

• Data Visualization

• Business Analytics Platforms

• Predictive Modeling

11. Internet of Things (IoT)

• IoT Devices and Sensors

• IoT Platforms

• Edge Computing

• Smart Systems (Homes, Cities, Vehicles)

12. Enterprise Systems

• Enterprise Resource Planning (ERP)

• Customer Relationship Management (CRM)

• Human Resource Management Systems (HRMS)

• Supply Chain Management Systems

13. IT Governance and Compliance

• ITIL (Information Technology Infrastructure Library)

• COBIT (Control Objectives for Information Technologies)

• ISO/IEC Standards

• Regulatory Compliance (GDPR, HIPAA, SOX)

14. Emerging Technologies

• Blockchain

• Quantum Computing

• Augmented Reality (AR) and Virtual Reality (VR)

• 3D Printing

• Digital Twins

15. IT Project Management

• Agile, Scrum, and Kanban

• Waterfall Methodology

• Resource Allocation

• Risk Management

16. IT Infrastructure

• Data Centers

• Virtualization (VMware, Hyper-V)

• Disaster Recovery Planning

• Load Balancing

17. IT Education and Certifications

• Vendor Certifications (Microsoft, Cisco, AWS)

• Training and Development Programs

• Online Learning Platforms

18. IT Operations and Monitoring

• Performance Monitoring (APM, Network Monitoring)

• IT Asset Management

• Event and Incident Management

19. Software Testing

• Manual Testing: Human testers evaluate software by executing test cases without using automation tools.

• Automated Testing: Use of testing tools (e.g., Selenium, JUnit) to run automated scripts and check software behavior.

• Functional Testing: Validating that the software performs its intended functions.

• Non-Functional Testing: Assessing non-functional aspects such as performance, usability, and security.

• Unit Testing: Testing individual components or units of code for correctness.

• Integration Testing: Ensuring that different modules or systems work together as expected.

• System Testing: Verifying the complete software system’s behavior against requirements.

• Acceptance Testing: Conducting tests to confirm that the software meets business requirements (including UAT - User Acceptance Testing).

• Regression Testing: Ensuring that new changes or features do not negatively affect existing functionalities.

• Performance Testing: Testing software performance under various conditions (load, stress, scalability).

• Security Testing: Identifying vulnerabilities and assessing the software’s ability to protect data.

• Compatibility Testing: Ensuring the software works on different operating systems, browsers, or devices.

• Continuous Testing: Integrating testing into the development lifecycle to provide quick feedback and minimize bugs.

• Test Automation Frameworks: Tools and structures used to automate testing processes (e.g., TestNG, Appium).

19. VoIP (Voice over IP)

VoIP Protocols & Standards

• SIP (Session Initiation Protocol)

• H.323

• RTP (Real-Time Transport Protocol)

• MGCP (Media Gateway Control Protocol)

VoIP Hardware

• IP Phones (Desk Phones, Mobile Clients)

• VoIP Gateways

• Analog Telephone Adapters (ATAs)

• VoIP Servers

• Network Switches/ Routers for VoIP

VoIP Software

• Softphones (e.g., Zoiper, X-Lite)

• PBX (Private Branch Exchange) Systems

• VoIP Management Software

• Call Center Solutions (e.g., Asterisk, 3CX)

VoIP Network Infrastructure

• Quality of Service (QoS) Configuration

• VPNs (Virtual Private Networks) for VoIP

• VoIP Traffic Shaping & Bandwidth Management

• Firewall and Security Configurations for VoIP

• Network Monitoring & Optimization Tools

VoIP Security

• Encryption (SRTP, TLS)

• Authentication and Authorization

• Firewall & Intrusion Detection Systems

• VoIP Fraud DetectionVoIP Providers

• Hosted VoIP Services (e.g., RingCentral, Vonage)

• SIP Trunking Providers

• PBX Hosting & Managed Services

VoIP Quality and Testing

• Call Quality Monitoring

• Latency, Jitter, and Packet Loss Testing

• VoIP Performance Metrics and Reporting Tools

• User Acceptance Testing (UAT) for VoIP Systems

Integration with Other Systems

• CRM Integration (e.g., Salesforce with VoIP)

• Unified Communications (UC) Solutions

• Contact Center Integration

• Email, Chat, and Video Communication Integration

[groovykingcat]

Top 6 Remote High Paying Jobs in IT You Can Do From Home

Technology has changed the scenario of workplaces and brought new opportunities for IT professionals erasing previous boundaries. Today, people are searching for both flexibility and, of course, better pay, which has made many look for remote well-paid jobs, especially in information technology field. 

Advancements in technology have made remote work a reality for a growing number of IT specialists. Here, we will look into six specific remote high-paying IT jobs you can pursue from the comfort of your home: 

Software Developer   

Software developers are the architects of the digital world, designing, developing, and maintaining the software applications that power our lives. They work closely with clients, project managers, and other team members to translate concepts into functional and efficient software solutions.   

In demand skills include proficiency in programming languages like Java, Python, Ruby, or JavaScript, knowledge of frameworks like React or Angular, and a strong foundation in problem-solving and communication. Platforms like Guruface can help you learn the coding skills to land a software developer job budget-friendly.  

The average salary for a remote software developer is highly competitive, ranging from $65,000 to $325,000 according to recent data. 

Data Scientist  

Data scientists are the detectives of the digital age. They use their expertise in data analysis to uncover valuable insights and trends from large datasets, informing business decisions and driving growth.  

To excel in this role, you'll need strong programming skills in languages like Python, R, and SQL, a solid understanding of statistical analysis and machine learning, and the ability to communicate complex findings effectively. Guruface is one of the leading online learning platforms that provides affordable data science courses. 

The average salary for a remote Data Scientist is $154,932, with top earners exceeding $183,000. 

Cloud Architect 

Cloud architects are the masterminds behind an organization's cloud computing strategy. They design, plan, and manage a company's cloud infrastructure, ensuring scalability, security, and cost-effectiveness.   

Cloud architects must be well-versed in cloud computing technologies from various providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform. In addition, proficiency in architectural design, infrastructure as code (IaC), and security compliance is essential. If you're interested in becoming a cloud architect, Guruface offers courses that can equip you with the necessary skills. Their cloud architect training programs can help you gain proficiency in cloud technologies from industry leaders like AWS, Microsoft Azure, and Google Cloud Platform. 

The average salary for a cloud architect in the US is $128,418, with senior cloud architects earning upwards of $167,000 annually. 

DevOps Engineer 

DevOps engineers bridge the gap between IT and software development, streamlining the software development lifecycle. They leverage automation tools and methodologies to optimize production processes and reduce complexity.   

A successful DevOps engineer requires expertise in tools like Puppet, Ansible, and Chef, experience building and maintaining CI/CD pipelines, and a strong foundation in scripting languages like Python and Shell. Guruface offers DevOps training courses that can equip you with these essential skills. Their programs can help you learn the principles and practices of DevOps, giving you the knowledge to automate tasks, build efficient CI/CD pipelines, and select the right tools for the job. 

The average salary for a remote DevOps Engineer is $154,333, and the salary range typically falls between $73,000 and $125,000. 

AI/Machine Learning Engineer 

AI/Machine Learning Engineers are the builders of intelligent systems. They utilize data to program and test machine learning algorithms, creating models that automate tasks and forecast business trends.   

In-depth knowledge of machine learning, deep learning, and natural language processing is crucial for this role, along with proficiency in programming languages like Python and R programming and familiarity with frameworks like TensorFlow and PyTorch.  

The average machine learning engineer salary in the US is $166,000 annually, ranging from $126,000 to $221,000. 

Information Security Analyst 

Information security analysts are the guardians of an organization's digital assets. They work to identify vulnerabilities, protect data from cyberattacks, and respond to security incidents.   

A cybersecurity analyst's skillset encompasses technical expertise in network security, risk assessment, and incident response, coupled with strong communication and collaboration abilities.  

The average salary for an Information Security Analyst in the United States is $77,490, with a salary range of $57,000 to $106,000. 

If you're looking to become a digital guardian, Guruface offers cybersecurity courses that can equip you with the necessary skills. Their programs can teach you to identify vulnerabilities in an organization's network, develop strategies to protect data from cyberattacks, and effectively respond to security incidents. By honing both technical expertise and soft skills like communication and collaboration, Guruface's courses can prepare you to thrive in the in-demand cybersecurity job market. 

Conclusion 

The rapid evolution of the IT sector presents an opportunity for professionals to engage remotely in high-paying jobs that not only offer high earnings but also contribute significantly to technological advancement. Through this exploration of roles such as Software Developers, Data Scientists, Cloud Architects, DevOps Engineers, AI/Machine Learning Engineers, and Information Security Analysts, we've uncovered the essential skills, career opportunities, and the vital role of continuous education via online platforms like Guruface in improving these career paths.  

Forget stuffy textbooks – Guruface's online courses are all about the latest IT skills, making you a tech rockstar in the eyes of recruiters. Upskill from coding newbie to cybersecurity guru, all on your schedule and without a dent in your wallet.

[mvishnukumar]

How can you optimize the performance of machine learning models in the cloud?

Optimizing machine learning models in the cloud involves several strategies to enhance performance and efficiency. Here’s a detailed approach:

Choose the Right Cloud Services:

Managed ML Services: 

Use managed services like AWS SageMaker, Google AI Platform, or Azure Machine Learning, which offer built-in tools for training, tuning, and deploying models.

Auto-scaling: 

Enable auto-scaling features to adjust resources based on demand, which helps manage costs and performance.

Optimize Data Handling:

Data Storage: 

Use scalable cloud storage solutions like Amazon S3, Google Cloud Storage, or Azure Blob Storage for storing large datasets efficiently.

Data Pipeline: 

Implement efficient data pipelines with tools like Apache Kafka or AWS Glue to manage and process large volumes of data.

Select Appropriate Computational Resources:

Instance Types: 

Choose the right instance types based on your model’s requirements. For example, use GPU or TPU instances for deep learning tasks to accelerate training.

Spot Instances: 

Utilize spot instances or preemptible VMs to reduce costs for non-time-sensitive tasks.

Optimize Model Training:

Hyperparameter Tuning: 

Use cloud-based hyperparameter tuning services to automate the search for optimal model parameters. Services like Google Cloud AI Platform’s HyperTune or AWS SageMaker’s Automatic Model Tuning can help.

Distributed Training: 

Distribute model training across multiple instances or nodes to speed up the process. Frameworks like TensorFlow and PyTorch support distributed training and can take advantage of cloud resources.

Monitoring and Logging:

Monitoring Tools: 

Implement monitoring tools to track performance metrics and resource usage. AWS CloudWatch, Google Cloud Monitoring, and Azure Monitor offer real-time insights.

Logging: 

Maintain detailed logs for debugging and performance analysis, using tools like AWS CloudTrail or Google Cloud Logging.

Model Deployment:

Serverless Deployment: 

Use serverless options to simplify scaling and reduce infrastructure management. Services like AWS Lambda or Google Cloud Functions can handle inference tasks without managing servers.

Model Optimization: 

Optimize models by compressing them or using model distillation techniques to reduce inference time and improve latency.

Cost Management:

Cost Analysis: 

Regularly analyze and optimize cloud costs to avoid overspending. Tools like AWS Cost Explorer, Google Cloud’s Cost Management, and Azure Cost Management can help monitor and manage expenses.

By carefully selecting cloud services, optimizing data handling and training processes, and monitoring performance, you can efficiently manage and improve machine learning models in the cloud.

[aita-blorbos]

AITA for mimicking the girl I was modeled after?

🪞-to find and also oc related!

Out of the gate it sounds bad, but I (19 [technicality], F [technicality]) am a Mirror Clone of a human girl, J (19F) and was supposedly created to be a daughter to my mentor. And something gor fucked up and my initial purpose became far less clear as I became an emotionless soldier built for killing.

I was trained for about 6 years after my creation (so yes, technically i've only been alive 6 years, but with the knowledge and phisique of a 19 year old) to do one thing: get revenge on the girl I was made after, the same girl who defeated my mentor DMK (idfk 30s??M) and his master DM (dont even ask me hell if i know).

So we caused a bit of commotion when I was ready, and J came to the Mirror World, where I promptly defeated her in a duel and sort of trapped her in a mirror prison. (This was my mentor's idea as he had done it before.)

So I went to her home anr eplaced her for about a week. And GOD. Was it HARD. At first it was hard because J had so many... feelings and I couldn't mimick them.

But soon I becan to grow attached to her older brother C (around 25??i think??M) and I learned to genuinely care for him.

This freaked me the hell out, but my mentor told me to just continue the mission. So I did.

And then I was caught. Long story short, J's twin sister H and cousin E (who i hated. he was so suspicious of me from the getgo.) noticed I was acting different. So, blah blah blah, I told cloud, almost died to this freaky cyborg thing, whatever.

I went home and H and J's other older brother Cy (im rlly not sure but not much older than C. M) planned to kill me. And I wanted a fighting chance, so I sort of made Cy kill H with some trickery.

And then I lost the fight anyways. C rescued me from an almost certain death, and I planned to never return after I left, since they had to be happier without me.

But C visited. And J visited. So I came back. And after a rocky few months, J and H called me their "triplet" ajd I was a part of thr family.

But my goal was never to hurt anyone but Jade. She was the only one I needed revenge on. So hurting H and Cy and all the others wasn't a part of the plan.

So... Thats my whole spiel. Sorry I don't know all the details. But even though I know what I did was awful, AITA?

[monisha1199]

Journey to AWS Proficiency: Unveiling Core Services and Certification Paths

Amazon Web Services, often referred to as AWS, stands at the forefront of cloud technology and has revolutionized the way businesses and individuals leverage the power of the cloud. This blog serves as your comprehensive guide to understanding AWS, exploring its core services, and learning how to master this dynamic platform. From the fundamentals of cloud computing to the hands-on experience of AWS services, we'll cover it all. Additionally, we'll discuss the role of education and training, specifically highlighting the value of ACTE Technologies in nurturing your AWS skills, concluding with a mention of their AWS courses.

The Journey to AWS Proficiency:

1. Basics of Cloud Computing:

Getting Started: Before diving into AWS, it's crucial to understand the fundamentals of cloud computing. Begin by exploring the three primary service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Gain a clear understanding of what cloud computing is and how it's transforming the IT landscape.

Key Concepts: Delve into the key concepts and advantages of cloud computing, such as scalability, flexibility, cost-effectiveness, and disaster recovery. Simultaneously, explore the potential challenges and drawbacks to get a comprehensive view of cloud technology.

2. AWS Core Services:

Elastic Compute Cloud (EC2): Start your AWS journey with Amazon EC2, which provides resizable compute capacity in the cloud. Learn how to create virtual servers, known as instances, and configure them to your specifications. Gain an understanding of the different instance types and how to deploy applications on EC2.

Simple Storage Service (S3): Explore Amazon S3, a secure and scalable storage service. Discover how to create buckets to store data and objects, configure permissions, and access data using a web interface or APIs.

Relational Database Service (RDS): Understand the importance of databases in cloud applications. Amazon RDS simplifies database management and maintenance. Learn how to set up, manage, and optimize RDS instances for your applications. Dive into database engines like MySQL, PostgreSQL, and more.

3. AWS Certification:

Certification Paths: AWS offers a range of certifications for cloud professionals, from foundational to professional levels. Consider enrolling in certification courses to validate your knowledge and expertise in AWS. AWS Certified Cloud Practitioner, AWS Certified Solutions Architect, and AWS Certified DevOps Engineer are some of the popular certifications to pursue.

Preparation: To prepare for AWS certifications, explore recommended study materials, practice exams, and official AWS training. ACTE Technologies, a reputable training institution, offers AWS certification training programs that can boost your confidence and readiness for the exams.

4. Hands-on Experience:

AWS Free Tier: Register for an AWS account and take advantage of the AWS Free Tier, which offers limited free access to various AWS services for 12 months. Practice creating instances, setting up S3 buckets, and exploring other services within the free tier. This hands-on experience is invaluable in gaining practical skills.

5. Online Courses and Tutorials:

Learning Platforms: Explore online learning platforms like Coursera, edX, Udemy, and LinkedIn Learning. These platforms offer a wide range of AWS courses taught by industry experts. They cover various AWS services, architecture, security, and best practices.

Official AWS Resources: AWS provides extensive online documentation, whitepapers, and tutorials. Their website is a goldmine of information for those looking to learn more about specific AWS services and how to use them effectively.

Amazon Web Services (AWS) represents an exciting frontier in the realm of cloud computing. As businesses and individuals increasingly rely on the cloud for innovation and scalability, AWS stands as a pivotal platform. The journey to AWS proficiency involves grasping fundamental cloud concepts, exploring core services, obtaining certifications, and acquiring practical experience. To expedite this process, online courses, tutorials, and structured training from renowned institutions like ACTE Technologies can be invaluable. ACTE Technologies' comprehensive AWS training programs provide hands-on experience, making your quest to master AWS more efficient and positioning you for a successful career in cloud technology.

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Best Data Science Courses Online - Skillsquad

 Why is data science important?

Information science is significant on the grounds that it consolidates instruments, techniques, and innovation to create importance from information. Current associations are immersed with information; there is a multiplication of gadgets that can naturally gather and store data. Online frameworks and installment gateways catch more information in the fields of web based business, medication, finance, and each and every part of human existence. We have text, sound, video, and picture information accessible in huge amounts.

Best future of data science with Skillsquad

Man-made consciousness and AI advancements have made information handling quicker and more effective. Industry request has made a biological system of courses, degrees, and occupation positions inside the field of information science. As a result of the cross-practical range of abilities and skill required, information science shows solid extended development throughout the next few decades.

What is data science used for?

Data science is used in four main ways: 

1. Descriptive analysis

2. Diagnostic analysis

3. Predictive analysis

4. Prescriptive analysis

1. Descriptive analysis: - 

Distinct examination looks at information to acquire experiences into what occurred or what's going on in the information climate. It is portrayed by information representations, for example, pie diagrams, bar outlines, line charts, tables, or created accounts. For instance, a flight booking administration might record information like the quantity of tickets booked every day. Graphic investigation will uncover booking spikes, booking ruts, and high-performing a very long time for this help.

2. Diagnostic analysis: - 

Symptomatic investigation is a profound plunge or point by point information assessment to comprehend the reason why something occurred. It is portrayed by procedures, for example, drill-down, information revelation, information mining, and connections. Different information tasks and changes might be performed on a given informational index to find extraordinary examples in every one of these methods.

3. Predictive analysis: - 

Prescient examination utilizes authentic information to make precise gauges about information designs that might happen from here on out. It is portrayed by procedures, for example, AI, determining, design coordinating, and prescient displaying. In every one of these procedures, PCs are prepared to figure out causality associations in the information

4. Prescriptive analysis: - 

Prescriptive examination takes prescient information to a higher level. It predicts what is probably going to occur as well as proposes an ideal reaction to that result. It can investigate the likely ramifications of various decisions and suggest the best strategy. It utilizes chart investigation, reproduction, complex occasion handling, brain organizations, and suggestion motors from AI.

Different data science technologies: - 

Information science experts work with complex advancements, for example,

- Computerized reasoning: AI models and related programming are utilized for prescient and prescriptive investigation.

- Distributed computing: Cloud innovations have given information researchers the adaptability and handling power expected for cutting edge information investigation.

- Web of things: IoT alludes to different gadgets that can consequently associate with the web. These gadgets gather information for information science drives. They create gigantic information which can be utilized for information mining and information extraction.

- Quantum figuring: Quantum PCs can perform complex estimations at high velocity. Gifted information researchers use them for building complex quantitative calculations.

We are providing the Best Data Science Courses Online

AWS Certification Program

Full Stack Java Developer Training Courses

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Navigating the Cloud Landscape: Unleashing Amazon Web Services (AWS) Potential

In the ever-evolving tech landscape, businesses are in a constant quest for innovation, scalability, and operational optimization. Enter Amazon Web Services (AWS), a robust cloud computing juggernaut offering a versatile suite of services tailored to diverse business requirements. This blog explores the myriad applications of AWS across various sectors, providing a transformative journey through the cloud.

Harnessing Computational Agility with Amazon EC2

Central to the AWS ecosystem is Amazon EC2 (Elastic Compute Cloud), a pivotal player reshaping the cloud computing paradigm. Offering scalable virtual servers, EC2 empowers users to seamlessly run applications and manage computing resources. This adaptability enables businesses to dynamically adjust computational capacity, ensuring optimal performance and cost-effectiveness.

Redefining Storage Solutions

AWS addresses the critical need for scalable and secure storage through services such as Amazon S3 (Simple Storage Service) and Amazon EBS (Elastic Block Store). S3 acts as a dependable object storage solution for data backup, archiving, and content distribution. Meanwhile, EBS provides persistent block-level storage designed for EC2 instances, guaranteeing data integrity and accessibility.

Streamlined Database Management: Amazon RDS and DynamoDB

Database management undergoes a transformation with Amazon RDS, simplifying the setup, operation, and scaling of relational databases. Be it MySQL, PostgreSQL, or SQL Server, RDS provides a frictionless environment for managing diverse database workloads. For enthusiasts of NoSQL, Amazon DynamoDB steps in as a swift and flexible solution for document and key-value data storage.

Networking Mastery: Amazon VPC and Route 53

AWS empowers users to construct a virtual sanctuary for their resources through Amazon VPC (Virtual Private Cloud). This virtual network facilitates the launch of AWS resources within a user-defined space, enhancing security and control. Simultaneously, Amazon Route 53, a scalable DNS web service, ensures seamless routing of end-user requests to globally distributed endpoints.

Global Content Delivery Excellence with Amazon CloudFront

Amazon CloudFront emerges as a dynamic content delivery network (CDN) service, securely delivering data, videos, applications, and APIs on a global scale. This ensures low latency and high transfer speeds, elevating user experiences across diverse geographical locations.

AI and ML Prowess Unleashed

AWS propels businesses into the future with advanced machine learning and artificial intelligence services. Amazon SageMaker, a fully managed service, enables developers to rapidly build, train, and deploy machine learning models. Additionally, Amazon Rekognition provides sophisticated image and video analysis, supporting applications in facial recognition, object detection, and content moderation.

Big Data Mastery: Amazon Redshift and Athena

For organizations grappling with massive datasets, AWS offers Amazon Redshift, a fully managed data warehouse service. It facilitates the execution of complex queries on large datasets, empowering informed decision-making. Simultaneously, Amazon Athena allows users to analyze data in Amazon S3 using standard SQL queries, unlocking invaluable insights.

In conclusion, Amazon Web Services (AWS) stands as an all-encompassing cloud computing platform, empowering businesses to innovate, scale, and optimize operations. From adaptable compute power and secure storage solutions to cutting-edge AI and ML capabilities, AWS serves as a robust foundation for organizations navigating the digital frontier. Embrace the limitless potential of cloud computing with AWS – where innovation knows no bounds.

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Every tech legend starts somewhere—usually confused, curious, and overwhelmed by the number of technologies out there. But if you're a fresher looking to break into IT, the path to becoming a Java Full Stack Developer in 2025 is clearer than ever.

With the right training, tools, and projects, you can transform from a fresher into a job-ready professional—and Ashok IT is here to guide that journey.

Step 1: Building Strong Foundations

Before you even touch frameworks or tools, you need to master the fundamentals:

Core Java

OOPs, Collections, Exception Handling

Multithreading, File I/O, and JDBC

Web Basics

HTML5, CSS3, JavaScript

Understanding how web pages work (client-server model)

At Ashok IT, we start slow and build deep understanding from Day 1.

Step 2: Full Stack Technologies—Frontend to Backend

Once the basics are rock solid, you’ll move into the full stack:

🔹 Frontend Development

JavaScript (ES6+)

ReactJS for building UIs with real-time API integration

🔹 Backend Development

Spring Boot for building REST APIs

MySQL or MongoDB for databases

Microservices (optional advanced module)

This step turns you into a complete developer—frontend + backend + database.

Step 3: Hands-On Real-Time Projects

This is where you shift from learning to doing.

You’ll build:

E-Commerce Website

Billing Software with Spring Boot APIs

Admin Panel using React + MySQL

With every project, you’ll:

Use GitHub for code hosting

Deploy apps on AWS or localhost

Write clean, industry-style code

Step 4: Mock Interviews & Resume Building

Getting technically strong is one part. But cracking interviews needs confidence.

At Ashok IT, we provide:

5+ rounds of mock interviews

Resume building with project details

HR and technical interview preparation

You’ll be interview-ready before you even attend your first real interview.

Step 5: Get Placed—and Start Growing

Once you're confident, it's time to apply for jobs. Our placement team supports you by:

Sharing job openings

Referring you to partner companies

Guiding you through interviews

Many Ashok IT students are now working at Infosys, Cognizant, Capgemini, and top startups.

The Growth Doesn’t Stop at Your First Job

After your first placement, your skills can grow into:

Full Stack Lead

Software Architect

DevOps Engineer (with Cloud expertise)

Tech Consultant

Your journey from fresher to pro doesn’t end—it evolves.

Learn from the Experts at Ashok IT

If you're ready to start your journey, Ashok IT’s Java Full Stack Developer course will take you from zero to job-ready:

6 Months of Structured Learning

Live Projects + Tool Mastery

100% Placement Support

Join Now and take the first step towards a professional IT career in 2025.