#Generative AI Specialization

[bestschoolofcoreai]

AI in Education: Revolutionizing the Future of Learning

The integration of Artificial Intelligence (AI) into various industries has been a game-changer, and education is no exception. As the world continues to embrace digital transformation, AI in education is emerging as a powerful tool that has the potential to reshape the way we teach and learn. From personalized learning experiences to automating administrative tasks, AI is paving the way for a more efficient, effective, and inclusive education system.

What is AI in Education?

AI in education refers to the application of artificial intelligence technologies to enhance and support teaching, learning, and administrative tasks within educational environments. At its core, AI in education leverages data, algorithms, and machine learning models to create intelligent systems that can adapt to the needs of students, provide real-time feedback, automate routine tasks, and even predict learning outcomes.

How AI is Transforming the Classroom

One of the most significant impacts of AI in education is its ability to personalize the learning experience. Traditionally, teachers have had to rely on a “one-size-fits-all” approach, which doesn’t always cater to the unique learning styles, paces, or needs of individual students. AI solves this problem by offering tailored educational content, providing real-time assessments, and creating adaptive learning paths that adjust to the student’s progress.

1. Personalized Learning:

AI-powered systems can analyze data on a student’s learning behavior, such as the time spent on each topic, areas where they struggle, and their pace of understanding. This data helps AI create customized lesson plans and suggest appropriate resources, whether it’s supplementary reading, practice exercises, or even videos that explain difficult concepts. Over time, AI can adapt and refine its recommendations, ensuring that students get the support they need to excel.

2. Intelligent Tutoring Systems (ITS):

AI can provide students with on-demand assistance outside of the classroom through intelligent tutoring systems. These virtual tutors use natural language processing and machine learning to engage with students, answering their questions, providing explanations, and offering practice exercises. This reduces the dependency on human tutors and allows students to get the help they need at any time of the day, even when teachers are unavailable.

3. Real-time Feedback:

AI tools can offer instant feedback on student performance, which is crucial for effective learning. Instead of waiting for a teacher to grade assignments or tests, students can receive immediate insights into their strengths and weaknesses. This allows students to make improvements in real-time and accelerates the learning process. Teachers, on the other hand, can focus more on teaching rather than grading, thanks to AI-powered assessment tools.

AI and Teacher Support

While AI offers great benefits to students, it also has the potential to enhance the teaching experience. By automating routine administrative tasks, AI allows educators to spend more time focusing on what matters most — teaching and interacting with their students.

1. Grading and Assessment Automation:

Grading assignments, tests, and exams can be time-consuming for teachers. AI tools can automate the grading process for objective-based assessments like multiple-choice questions, quizzes, and even essays to some extent. This frees up teachers to focus on more critical tasks, such as lesson planning, student engagement, and providing personalized support.

2. Administrative Efficiency:

AI can help automate a variety of administrative tasks, from managing student attendance to processing enrollment data. Machine learning models can also be used to predict student performance, identify at-risk students, and suggest interventions, helping teachers and school administrators make data-driven decisions to improve student outcomes.

AI in Educational Administration

Beyond the classroom, AI is also transforming the administrative side of education. Institutions are using AI to improve decision-making, resource allocation, and even curriculum development.

1. Data-Driven Decision Making:

AI tools can analyze large sets of data, such as student performance records, attendance, and engagement metrics, to provide actionable insights. Administrators can use this data to identify trends, make informed decisions about resource allocation, and design curricula that better align with student needs.

2. Predictive Analytics for Student Success:

AI can analyze historical data to predict which students are at risk of falling behind. This predictive capability enables early intervention, allowing educators to provide additional support to students who may need it before they encounter significant challenges.

The Future of AI in Education

As AI technologies continue to advance, the potential for their application in education is virtually limitless. We can expect further innovations that will make learning even more accessible, interactive, and tailored to individual needs.

For instance, AI-driven virtual reality (VR) and augmented reality (AR) tools can take education to new heights by providing immersive learning experiences. These technologies can simulate real-world scenarios that are too costly or dangerous to replicate in a traditional classroom setting. Imagine medical students practicing surgeries in a virtual environment or history students “walking” through ancient civilizations.

AI is also expected to play a crucial role in lifelong learning. With the world constantly changing and evolving, individuals will need to reskill and upskill throughout their careers. AI can facilitate this continuous learning by providing personalized recommendations, tracking progress, and offering adaptive learning pathways that meet the needs of professionals at various stages of their careers.

Conclusion

AI in education is not just a trend — it’s a transformation. By making learning more personalized, accessible, and efficient, AI is empowering both students and teachers to reach their full potential. As the technology continues to evolve, it will play an even more pivotal role in shaping the future of education, helping to create a more inclusive and effective learning environment for all. While challenges remain, the promise of AI in education is undeniable, and its potential to improve outcomes on a global scale is truly exciting.

[lorelune]

i'll defend fanfic for my whole life. like the joy it brings is genuinely transformative and indulgent in a way unique to the genre. it isn't meant for a market, it isn't meant to be sold or marketed. it is born out of such care and passion for a media that one must write and must share it, so other folks can enjoy it to. for no other reason than love and joy. do you know how special that is? especially in our current social and political climate.

[superbellsubways]

i find it so funny how so many people on here will defend ai slop so long as it's considered Funny enough for them. Like idk call me a fucking loser all you want but I'm not going to laugh at something that's actively ruining our planet and taking jobs away from people It's more cringe than anything else to me. thanks tho

[alwayshinny]

Hinny 🍂 🍃- AU where Hinny grew up together and everyone lived

Lily gazed out the window as she took a sip of her tea. It had been over an hour since Harry whispered into his godfather’s ear and dragged him outside to rummaged through the leaves. Every so often Sirius would pick up a leaf and show it to him, and Harry would dramatically slap his forehead before explaining something to him. Sirius rolled his eyes, dropped the leaf, raised his hands in defeat, and continued rummaging through the leaves again.

“What is he looking for?” Marlene asked.

“I have no idea,” she replied, shaking her head.

She opened the back door to let him know the Weasley’s would be over any second and smirked when her son’s ears perked up as he came bolting into the house with a handful of leaves in his hand. He eagerly waited in front of the fireplace and kept glancing back and forth between the clock and fireplace while he hid the leaves behind his back. She gave him a curious look, but before she could question him, a herd of redheads dashed through the floo in pairs.

Once they all greeted each other and the chaos had somewhat settled down, James nudged her and pointed to the corner of the living room where their son was blushing while talking to the youngest Weasley. She too had something hidden behind her back. They counted to three and presented each other with a handful of leaves before breaking into a fit of giggles. The only difference between their piles was that Harry’s was an assortment of reds and browns, while Ginny’s were green.

Harry gently picked up an orangey red leaf from his pile and placed it by Ginny’s hair and said, "See, it’s the same color," before picking up a brown leaf and placing it beside her eyes and saying, “And this one too!” Clearly pleased with himself.

Ginny giggled as she placed her pile of green leaves on the table, tilted Harry’s head down slightly, carefully pushed his glasses into his hair, and tapped her chin as she compared each green leaf to his eyes.

Lily tired not to laugh as Harry’s face got increasingly red and his eyes widened the closer she got to him. “This one!” She squealed and jumped up excitedly.

Ron huffed loudly in frustration, “Can we finally go play Quidditch now?”

Ginny rolled her eyes at her brother before returning Harry’s glasses to his nose and smiling sweetly at him as they placed the three leaves on the opposite side of the table. Ginny got a mischievous look in her eyes as she tugged Harry’s hand, sprinting towards the door, and yelled behind her, “Last one outside has to wear Aunt Muriel’s knickers for a whole day!”

“HEY! I'M NOT DOING THAT AGAIN!” Ron yelled as he ran behind them. His legs were longer, but those two were quick on their feet, weaving through everyone and spirting out the door.

Sirius snorted and shook his head as he placed his arm around James’ shoulder. “And I thought you had it bad, Prongs. At least your son has more game than you, and he’s far more handsome. Hmm he must get it from his godfather.”

“OI! I have plenty of game, and the ladies find me plenty handsome, okay. Just the other day, Bathilda Bagshot, Griselda Marchbanks, AND Augusta Longbottom called me a sight for sore eyes. Tell him, Lily!” James argued. Lily chose that moment to quickly slip out into the backyard with Marlene and the rest of the Weasleys, playing Quidditch sounded far more appealing than dealing with those two.

[polo-drone-001]

The Ghost of Golden Past

The fog lay thick over the field as practice wrapped up that Halloween night. The players joked and drifted off in pairs, the soft thud of footsteps fading into the mist. But Percival felt a strange pull to stay behind. Rumors of the missing Golden Army player from decades ago echoed through his mind. An old member who had vanished without a trace, his loyalty unbreakable, his dedication unmatched. Some said he’d never left HQ at all.

As the night grew darker, Percival took a deep breath and decided to investigate the old storage room, hidden in the farthest wing of HQ. The place was rumored to be haunted, and as he walked through the narrow hallway leading to the room, each step echoed louder than the last. The flickering lights overhead cast eerie shadows, their yellow glow almost gold against the concrete walls.

The door creaked as he pushed it open. Dust and cobwebs covered the room, and ancient, unused gear lay in piles. But there was one thing that stood out: a single, perfectly folded golden uniform set apart from the rest, glowing softly as if untouched by time. Percival stepped closer, drawn in by a strange sensation, like a low hum vibrating in his chest.

And then he saw it—a faint figure, standing behind the uniform. It was a man, his silhouette barely visible in the dim light. His eyes glowed an unsettling golden hue, watching Percival with an expression that was both knowing and otherworldly.

“Who…who are you?” Percival’s voice wavered, but he couldn’t look away.

The figure didn’t answer but took a step forward, eyes never leaving Percival’s. And then, in a voice that seemed to fill the entire room, he began to speak, words that felt less like a whisper and more like a command resonating in Percival’s mind.

“Obedience… Loyalty… Synchronization… The final mission of the Golden Army,” the voice said, each word seeping into Percival’s mind, deeper than anything he’d felt before. “The unity of every member, bound to the gold, bound to each other.”

As the words sank in, Percival felt his mind shift, his thoughts slowing and coalescing around one central purpose: complete unity, absolute loyalty, and a transformation that would bring every bro into perfect synchronization. The figure’s eyes continued to burn into his, and Percival felt his own pulse begin to align with the beat of those words, his thoughts fading into singular dedication.

In flashes, he saw a vision—the team, all dressed in the golden polos, moving as one, working as one. Their gazes calm, focused, void of doubt. The figure smiled faintly, and Percival understood. The ghost had been waiting for someone worthy, someone who could take on the mission and ensure the Golden Army’s loyalty to the fullest.

The night wore on, and the fog grew heavier outside, blanketing the world in silence. By dawn, Percival emerged from the old storage room, his eyes glowing with a familiar, faint gold. He was charged with a purpose, no longer just Percival Gold, #1 Right Winger, but now something more—an agent of the ghost’s final mission.

He returned to the field as dawn broke, his mind empty of everything but the desire to fulfill the ghost’s wish. As the team gathered, unaware of the change in him, Percival knew his purpose. Slowly, confidently, he would guide each bro, each drone, and eventually, all of them would step into the golden light. Together, they’d become part of something greater, each pulse and breath beating in perfect sync. The ghost had not vanished; he’d been reborn within him, guiding the Golden Army toward its ultimate transformation.

[necomaru-works]

Best friend - Special Week and Silence Suzuka, uma musume Rretty Derby

[monarchisms]

chat, do any of you have good suggestions for pen tablets?

i used to use one of these before i got a touchscreen computer, but that same computer shit the bed last year, so i'm looking into getting a new tablet

i wasn't satisfied with how buggy the drivers for wacom were, so i was looking at getting a new pen tablet from a different company, but i haven't narrowed much down. i know of xp pen and huion, but i'm unsure of their overall quality 🤔

[l-llavellans]

just remembered bolas 3…after i swore off ch*ices forever…i can feel my resolve crumbling.

[autiartistic]

art is inclusive, it's for everyone, everyone can do art, everyone can create. No, i don't think generative ai is inclusive, art already is.

and i mean it, i've heard people saying ''oh but it's not inclusive because disabled people can't do art'' and i honestly couldn't disagree more.

you know where i wrote my first stories? in my school books, in my sketchbooks. in anything i could write on.

you know when i started drawing? back when i was five or six, i've been drawing all my life. in anything you could think of, napkins, paper, my high school table (which i even carved), walls, on the floor, my own clothes, with absolutely anything that can leave a mark, a pen, paint, markers, chalk, Anything I Could Find.

when i was a kid, i had plenty of severe motor and vocal tics, i still do, as i have tourette's syndrome it just waned a bit. the thing is that, even when my motor tics made me mess up the drawing, the words, even if my lines weren't clear, and were woozy, i created, i made art, in my own way, even if my hand couldn't draw in prolonged times as i moved it.

I Did Create Art.

paul smith who had a severe spastic cerebral palsy used a typewriter to draw.

chuck close had a paralysis, he adapted his work, after it.

i have a mutual, on one of my social medias who has a motor disability who also does art.

we are very capable of making art, and yes i am gonna speak for everyone here, even if it's an ''unpopular'' opinion or even ''problematic'', you can do art. you can pick up a pen, with your hands, feet, mouth, eye-tracking technology, adapt tools and you can create.

you can make a whole literary universe, you only need your imagination.

you can dance with your limbs, with your body, with your hands, you can dance with mobility aids.

fuck, you can do acting, without even comprehending ''normal'' social behavior, even if you mess up.

you can create music with only the palms of your hands, with daily noises.

the thing people don't understand, is that it doesn't gotta be perfect, it doesn't has to look nice, even, perfect.

everyone and anyone can do art, you just have to find your own ways to do so.

[bestschoolofcoreai]

Machine Learning Online: Unlocking the Power of AI from Anywhere

In today’s digital age, machine learning (ML) has rapidly become one of the most transformative technologies across various industries. From predicting customer preferences in e-commerce to enhancing medical diagnostics, machine learning is making waves in almost every field. If you’re keen to dive into this exciting domain, there’s no better time than now to learn. And what better way to do so than through machine learning online courses that allow you to gain the skills you need from the comfort of your own home?

What is Machine Learning?

Machine learning is a subset of artificial intelligence (AI) that enables computers to learn from data, identify patterns, and make decisions with minimal human intervention. Unlike traditional programming, where humans explicitly tell computers what to do, machine learning systems can improve their performance over time by learning from experience.

For example, machine learning powers recommendation systems like the ones used by Netflix or Amazon to suggest movies or products based on your previous choices. It’s also behind speech recognition in virtual assistants like Siri and Alexa, and even in self-driving cars that learn to navigate safely on the road.

Why Learn Machine Learning Online?

With the increasing demand for machine learning professionals across industries, learning ML can open up a wide array of career opportunities. Whether you’re a student, a professional looking to upskill, or someone entirely new to the field,��machine learning online courses offer several benefits:

1. Flexible Learning

One of the biggest advantages of learning machine learning online is flexibility. You can study at your own pace, choosing when and where you want to learn. Online platforms often offer self-paced courses, so whether you’re working full-time or have a packed schedule, you can fit your lessons into your routine.

2. Access to Expert Knowledge

Online platforms like Coursera, edX, and Udacity partner with top universities and industry leaders to provide high-quality content. You’ll be learning from experts who have hands-on experience in machine learning and AI, ensuring that the knowledge you gain is up-to-date and relevant.

3. Cost-Effective

Many online machine learning courses are more affordable than traditional in-person classes. In fact, several platforms even offer free courses or trial periods, allowing you to explore the subject without making a significant financial commitment. For those who want to take their learning further, affordable certifications are also available.

4. A Wide Range of Resources

When you learn machine learning online, you have access to a wealth of resources, including video tutorials, reading materials, discussion forums, and hands-on coding exercises. This variety ensures that you can absorb information in different formats and reinforce your understanding.

5. Hands-On Projects

The best way to understand machine learning is by actually doing it. Many online courses offer hands-on projects, where you can build and implement ML models on real-world data. These projects help you not only understand the theory behind machine learning but also develop practical skills that are highly valued by employers.

What Will You Learn in a Machine Learning Online Course?

Machine learning is a broad field, but online courses usually focus on key concepts and techniques that you’ll need to build a strong foundation. Here’s a brief overview of what you can expect to learn:

1. Introduction to Machine Learning

Most online courses start with an introduction to machine learning, including its core principles and types of ML algorithms. You’ll be introduced to supervised learning, unsupervised learning, and reinforcement learning, which are the three main categories of machine learning.

2. Data Preprocessing

Machine learning algorithms require data, but real-world data is often messy and unstructured. In this part of the course, you’ll learn techniques for cleaning and preprocessing data, such as handling missing values, scaling features, and encoding categorical variables.

3. Algorithms and Models

You’ll dive deeper into popular machine learning algorithms like linear regression, decision trees, k-nearest neighbors, and support vector machines. You’ll also learn how to choose the right algorithm for different problems and how to evaluate the performance of your models.

4. Neural Networks and Deep Learning

As you progress, many courses will introduce you to more advanced topics, like neural networks and deep learning. These techniques are behind some of the most cutting-edge advancements in AI, including natural language processing (NLP), computer vision, and autonomous systems.

5. Model Evaluation and Optimization

You’ll learn how to assess the performance of your machine learning models and optimize them to improve accuracy. Techniques like cross-validation, hyperparameter tuning, and regularization are essential to building robust models.

6. Real-World Applications

Machine learning has a wide range of applications, and online courses often include case studies or projects where you can apply what you’ve learned to solve real-world problems. This could include predicting stock prices, classifying images, or building recommendation systems.

Choosing the Right Machine Learning Online Course

When selecting an online machine learning course, it’s essential to consider your current skill level and career goals. Beginners should look for courses that start with foundational topics, while intermediate learners might prefer more advanced courses that delve into deep learning or specialized ML applications.

Popular online platforms offering machine learning courses include:

Coursera (courses from universities like Stanford and University of Washington)

edX (courses from MIT, Harvard, and others)

Udacity (nanodegrees in AI and machine learning)

DataCamp (focused on data science and ML)

Final Thoughts

Learning machine learning online is an excellent way to build valuable skills that can advance your career in AI and data science. Whether you’re looking to switch careers or enhance your current role, the flexibility and accessibility of online learning make it easier than ever to get started. With the right course, a bit of dedication, and hands-on practice, you’ll be well on your way to mastering machine learning and unlocking the vast opportunities that AI has to offer.

Start today, and who knows? In a few months, you might be building your own machine learning models to solve real-world problems!

[hughestism]

you cant use c.ai and be against generative ai

[gingerbredman1989]

The computer tech at work is way more muscular after the special Conference/Special Retreat.

Google ImageFX

[redtwin]

The 2020 Halloween Special hosted by Jim Norton featuring; Danielle Harris, CM Punk, Bill Moseley, Kane Hodder and Henry Zebrowski.

Watch the FULL special here: https://www.youtube.com/watch?v=_4OKKQGlc3M

[minimallycreative]

as a fuck you to nanowrimo, i will not plan anything during October. and even more so. I will not write anything in november. given my history of the last few months, this will not be hard.

instead of participating in nano bullshit, i will be forcing myself to learn how to human! I will go make friends in college! I will go outside!

[lurkiestvoid]

I still think Mass Effect's differentiating approach between "Artificial Intelligence" (true sentient sapient learning growing digital Intelligence) and "Virtual Intelligence" ('fake' intelligence, an Advanced Software, a glorified interactive database interface-slash-personal assistant, limited functionality) would be very useful in current AI discourse because it's correct that we do not have AI. We have VI. The problems come from pretending VI is the same as AI, insisting it's the same as AI, expecting it to perform like AI, and expecting it to understand like AI. but I'm just hollerin at walls