#prompt engineer course

[havenshereagain]

DPxDC Idea

Danny working at Wayne Enterprises as some sort of engineer, uses the in-house app for all his blueprints and stuff

He starts getting notes from a coworker in-app, and assumes its this annoying older guy in his department who constantly undermines him because of his age, despite his education and past achievements (i feel like in this AU the Fentons react well to the reveal and they work together on a number of non-lethal ecto inventions that have Danny's name attached to them)

Except one day his coworker mentions never using the app, and Danny suddenly realizes there's only one other TD he could've been arguing with in the notes of the app

[blogchaindeveloper]

Future Trends in Prompt Engineering

In the world of technology, staying ahead means keeping an eye on the future. One area that's gaining prominence is prompt engineering, and understanding its trends is crucial for anyone diving into the world of Artificial Intelligence (AI). Let's explore what's on the horizon and how certifications, like the AI prompt engineer certification, AI expert certification, and AI developer certification, can guide the way.

As we explore the future trends of prompt engineering, it's evident that those with AI certifications are poised for success. Blockchain Council's prompt engineer course, in particular, is designed to provide the skills needed to ride the upcoming wave of AI advancements, making it an invaluable asset for anyone looking to thrive in this field.

In this article, we'll explore the future trends shaping prompt engineering. Join us and discover how Blockchain Council's AI prompt engineer certification can be your key to unlocking the full potential of prompt engineering.

The Current State of AI Prompt Engineering

In the world of technology, AI Prompt Engineering is taking center stage as AI models grow bigger and more intricate. As these models reach new heights in size and complexity, the need for professionals who can effectively communicate with these models and get the most out of them is on the rise.

In today's working world, it's the developers and data scientists who are leading the charge. They use their deep understanding of AI and their creative skills to come up with prompts that really work. But here's the twist—there's a new trend in town, and it's all about automating prompt generation.

Nowadays, AI models are getting smarter and learning how to create prompts on their own, which means less work for humans. However, even with these smart models, having expert human prompt engineers is still essential. It's like a team effort where humans and machines work together to make AI prompts as effective as possible.

Future Trends in Prompt Engineering

In the tech world, things are always changing, and one cool area to watch is prompt engineering. But what's the scoop on where it's headed? Let's take a quick look into the crystal ball to see what future trends might pop up.

1. Widespread Demand Across Industries:

As we gaze into the future of prompt engineering, one clear trend emerges—its growing demand across various industries. Think of AI becoming a part of everyday life, from helping doctors in healthcare to making our entertainment experiences smarter.

This means businesses will be on the lookout for individuals skilled in prompt engineering, those who can make sure AI systems work at their full potential by using effective prompts. The more industries embrace AI, the more the need for adept prompt engineers will rise.

2. Interdisciplinary Integration:

In the future, prompt engineering won't be confined to just one field. It's likely to become a crucial part of other areas like data science, AI ethics, and AI psychology. Imagine professionals in these fields needing to understand and use prompt engineering principles. This integration is essential for ensuring that Artificial Intelligence (AI) is not just powerful but also ethical, secure, and effective in its usage. So, if you're into data or AI ethics, knowing prompt engineering could become a key skill.

3. Advancements in Automated Prompt Generation:

While human prompt engineers will still be important, the future promises significant progress in automated prompt generation. Picture AI models becoming more independent, capable of creating and improving their own prompts for better results.

This advancement is like giving AI systems the ability to fine-tune themselves, making them more autonomous and efficient. So, even though human experts will still play a role, automation will likely be a crucial aspect of the prompt engineering landscape.

4. Expansion in Training and Education:

As prompt engineering gains traction, learning resources are expected to flourish. Universities might start offering specialized courses, and online platforms may create training programs focusing on this field.

This means more opportunities for individuals to learn about prompt engineering, whether through traditional education channels or accessible online platforms. The discipline's growth is likely to be accompanied by a surge in educational resources, making it easier for aspiring prompt engineers to acquire the necessary skills.

5. Ethical Implications:

Looking ahead, the future of prompt engineering will also grapple with ethical concerns. Imagine if AI systems are misled by deceptive prompts, leading to biased or unfair outcomes. This is where ethical considerations come into play.

Progress in prompt engineering will involve establishing standards and guidelines to ensure that prompts are used ethically. It's not just about making AI powerful; it's about using it responsibly and fairly to avoid unintended consequences. Addressing ethical implications will be a significant part of the discipline's evolution in the coming years.

Conclusion

As we wrap up our journey, the verdict is clear—it's a game-changer. The need for skilled individuals in this field is rising, and certifications like the AI prompt engineer certification, AI expert certification, and AI developer certification are the keys to unlocking this potential.

In a landscape where AI and cybersecurity intertwine, Blockchain Council's prompt engineer course emerges as a beacon of knowledge. It not only equips individuals with the essential skills needed for prompt engineering but also ensures a solid foundation in cybersecurity—an indispensable aspect in today's digital age.

So, whether you're aiming to become an AI expert, developer, or a prompt engineer, Blockchain Council's course paves the way for a promising future. The verdict is clear—the knowledge gained from this course will not only open doors to diverse career paths but will also empower you to navigate the dynamic challenges of the tech world with confidence. Your journey into AI and prompt engineering starts here, with Blockchain Council's course leading the way.

[puppetmaster13u]

Prompt in Memes 5

Once more, have a prompt entirely in memes because I'm too lazy to properly write one right now lol.

[complainblogforthevoid]

I've finally figured out an argument that convinces coding tech-bros that AI art is bad.

Got into a discussion today (actually a discussion, we were both very reasonable and calm even through I felt like committing violence) with a tech-bro-coded lady who claimed that people use AI in coding all the time so she didn't see why it mattered if people used AI in art.

Obviously I repressed the surge of violence because that would accomplish nothing. Plus, this lady is very articulate, the type who makes claims and you sit there thinking no that's wrong it must be but she said it so well you're kind of just waffling going but, no, wait-- so I knew I had to get this right if I was gonna come out of this unscathed.

The usual arguments about it being about the soul of it and creation fell flat, in fact she was adamant that anyone who believed that was in fact looking down at coding as an art form as she insisted it is. Which, sure, you can totally express yourself through coding. There's a lot more nuance as to the differences but clearly I was not going to win this one.

The other people I was with (literally 8 people anti-ai against her, but you can't change the mind of someone who doesn't want to listen and she just kept accusing us of devaluing coding as an art) took over for I kid you not 15 minutes while I tried desperately to come up with a clear and articulate way to explain the difference to her. They tried so many reasonable arguments, coding being for a function ("what, art doesn't serve a function?") coding being many discrete building blocks that you put together differently, and the AI simply provides the blocks and you put it together yourself ("isn't that what prompt building is") that it's bad for the environment ("but not if it's used for capitalism, hm?" "Yeah literally that's how capitalism works it doesn't care about the environment" she didn't like that response)

But I finally got it.

And the answer is: It's not about what you do, it's about what you claim to be.

Imagine that someone asks an AI to write a code and, by some miracle, it works perfectly without them having to tweak it---which is great because they couldn't tell you what a single solitary thing in that code means.

Now imagine this person, with their code that they don't know how it works, goes and applies to be a coder somewhere, presenting this AI code as proof that they're qualified.

Should they be hired?

She was horrified, of course. Of course they shouldn't be. They're not qualified. They can't actually code, and even if by some miracle they did have an AI successfully write a flawless code for every issue they came across that wouldn't be their code, you could hire any shmuck on the street to do that, no reason to pay someone like they're creating something.

When actual engineers use AI what they do is get some kind of base, which they then go though and check for problems and then if they find any they fix them, and add on to the base code with their own knowledge instead of just trying different prompt after prompt until they randomly come across one that works.

People who generate code like this don't usually call themselves engineers. They're people who needed a bit of code and didn't have the knowledge to generate it, and so used a resource.

And there you go. There are people who have none of the skills of artists, they don't practice, they don't create for themselves. When they feed the prompt to the AI they then don't just use the resulting image as a reference point for their own personal masterpiece, and if they don't like it they don't have the skills to change it---they simply try another prompt, and do that until they get something they like.

These people are calling themselves artists.

Not only that, these people are bringing the AI generated thing to interviews, and they are getting hired, leaving people who slave over their craft out of the job.

And that is the difference, for the tech bros who think AI art isn't a big deal.

[trendsnova]

5 Essential AI Courses to Take in 2025 — No Matter Your Industry

Your fastest path to mastering AI skills that top companies are hiring for

AI Isn't Optional Anymore — It's the New Literacy

If there's one capability that will determine achievement in 2025 and beyond, it's artificial intelligence. No longer the exclusive province of Silicon Valley engineers, AI is now part of the everyday arsenal in marketing, education, finance, design, and healthcare.

A recent report from McKinsey estimates AI has the potential to inject more than $13 trillion into the economy by 2030. That's not a niche—it's a revolution. And those who know how to tap it will have a huge career advantage.

The best part? You don't require a computer science degree to get started. Nowadays, top AI education is a click away. The next five courses are some of the most prestigious and useful available, supported by giants like Google, Stanford, and DeepLearning.AI.

Google AI Essentials (Coursera) Best For: Complete beginners looking for a reliable, hands-on primer Google AI Essentials aims to equip you with a solid understanding of how AI works and how to apply it in your role, even if tech is not your background. It touches on practical uses of AI and even includes exercises to create your first AI-powered tools with Google's suite.

With a Google and Coursera certificate, this course is unique on a résumé and enables professionals to begin applying AI quickly in content writing, admin tasks, or data analysis.

AI For Everyone by Andrew Ng (Coursera) Best For: Entrepreneurs, managers, and non-technical teams Teased out by Coursera co-founder and former Google Brain boss Andrew Ng, a legendary in the field, the course is not about code but strategy for AI—how to think about the role of AI in business and society.

It’s perfect for decision-makers who want to speak the language of AI without writing a single line of code. You’ll learn how to identify which problems AI can solve, and how to build teams around those solutions.

Machine Learning Specialization (Stanford + DeepLearning.AI) Best For: Learners who want depth, and a Stanford-backed certificate If you're willing to dive deeper, this three-course specialisation—again taught by Andrew Ng—teaches the principles of supervised learning, unsupervised learning, and ML engineering best practices.

This is one of the best-known ML programmes in the world and provides you with a solid grounding to transition into AI work or create your own projects. It's an essential if you're keen on the technical aspects.

Prompt Engineering for ChatGPT (DeepLearning.AI + OpenAI) Best For: Creators, marketers, copywriters, and researchers Prompt engineering is rapidly turning into the most sought-after AI skill. In this course, you learn how to effectively interact with large language models such as ChatGPT so you can obtain the most accurate and creative output.

You will discover how to frame prompts for various purposes—summarizing, content writing, programming assistance, and more. Whether you are writing articles, emails, code, or strategies, prompt mastery is a productivity shortcut to 10x.

AI Product Management (Duke University on Coursera) Ideal For: Future product managers and startup entrepreneurs AI isn't merely about creating tools—it's about creating the right tools. This Duke University course is designed to get you to market with AI-powered products.

You'll learn to design, test, and release AI systems with consideration for user requirements, data ethics, and risk. With case studies and frameworks from leading product leaders, it's ideal for professionals who want to drive AI innovation in their firm or startup.

Why These Courses Matter These aren't random YouTube tutorials. Each one is instructed by Stanford, Google, OpenAI, or top university experts. More significantly, they provide you with practical know-how that's applicable in almost every profession.

If you are a writer wanting to apply AI for quicker content generation or a manager seeking to revolutionize your company's process, these courses will make you AI-literate—quickly.

Final Thought AI is not just a passing trend—it’s the skill that will define career trajectories for the next decade. The sooner you get started, the further ahead you’ll be when everyone else starts catching up.

Choose one course today, block 30 minutes on your calendar, and start your journey. You’ll thank yourself in six months.

[simplifyaitools]

Learn Free Prompt Engineering Course Online with Certification – Simplify AI Tools Explore prompt engineering and why it’s the backbone of modern AI. Simplify AI Tools offers a complete prompt engineering course in India, online and free! Get certified while learning how to design powerful AI prompts. This course is perfect for developers, students, and AI enthusiasts seeking practical, real-world skills. Contact Simplify AI Tools to get premium prompt bank pack to learn.

[blogchaindeveloper]

How Prompt Engineering Works?

Understanding the intricacies of massive AI models is an art. Even technical experts can find themselves baffled by the unexpected capabilities of large language models (LLMs), the core elements of AI chatbots such as ChatGPT. Therefore, it's no wonder that prompt engineering has emerged as the most trending profession in the field of generative AI, with some organisations offering enticing salaries of up to ₹3,50,00,000 to entice top-tier candidates. In this article, we'll explore what prompt engineering is, how to become a prompt engineer, why it's important, and how it operates.

Understanding Prompt Engineering

Prompt engineering involves the creation of clear and informative questions or instructions that help users obtain desired outputs from AI models. These prompts serve as specific inputs that shape language models' behaviour and text generation. By carefully constructing prompts, users can influence and control the output of AI models, making them more useful and dependable.

The History of Prompt Engineering

While prompt engineering might not have a long history, its roots can be traced back to early NLP research and the development of AI language models. Let's take a brief journey through its evolution:

Pre-transformer Era (Before 2017)

Before the advent of transformer-based models like OpenAI's GPT (Generative Pre-trained Transformer), prompt engineering wasn't a common practice. Earlier models, such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs), lacked contextual knowledge and adaptability, limiting the potential for prompt engineering.

Pre-training and the Emergence of Transformers (2017)

The introduction of transformers, especially through Vaswani et al.'s "Attention Is All You Need" paper in 2017, revolutionised NLP. Transformers enabled large-scale pre-training of language models, teaching them how to represent words and sentences in context. However, prompt engineering remained a relatively unexplored technique during this period.

Fine-tuning and the Rise of GPT (2018)

A significant turning point for prompt engineering came with the introducing of OpenAI's GPT models. These models demonstrated the effectiveness of pre-training and fine-tuning for specific tasks. Researchers and practitioners began to use prompt engineering techniques to guide the behaviour and output of GPT models for various purposes.

Advancements in Prompt Engineering Techniques (2018–Present)

As the understanding of prompt engineering deepened, researchers started experimenting with different strategies. This included crafting prompts with rich context, using rule-based templates, integrating system or user instructions, and exploring techniques like prefix tuning. The aim was to enhance control, mitigate biases, and improve the overall performance of language models.

Community Contributions and Exploration (2018–Present)

Prompt engineering gained popularity among NLP experts, leading to the exchange of ideas, best practices, and lessons learned among academics and programmers. Online discussion boards, academic publications, and open-source libraries played a vital role in advancing prompt engineering methods.

Ongoing Research and Future Directions (Present and Beyond)

Prompt engineering remains an active area of research and development. Researchers are continuously exploring ways to make prompt engineering more effective, interpretable, and user-friendly. Techniques like rule-based rewards, reward models, and human-in-the-loop approaches are being investigated to refine prompt engineering strategies.

The Significance of Prompt Engineering

Prompt engineering is crucial for improving the usability and interpretability of AI systems. It offers several benefits:

Improved Control

By providing clear instructions through prompts, users can steer language models to generate desired responses. This level of control ensures that AI certification models deliver results in line with predefined standards or requirements.

Reducing Bias in AI Systems

Prompt engineering serves as a tool to mitigate bias in AI systems. Carefully crafted prompts can help identify and reduce biases in generated text, resulting in fairer and more equitable outcomes.

Modifying Model Behavior

Prompt engineering allows for the customization of language models to exhibit specific behaviours. This empowers AI systems to excel in particular tasks or domains, enhancing their accuracy and reliability in specific use cases.

How Prompt Engineering Works

Prompt engineering follows a systematic process to create effective prompts. Here are the key steps:

1. Specify the Task

Clearly define the specific goal or objective you want the language model to accomplish. This can encompass any NLP task, such as text completion, translation, or summarization.

2. Identify Inputs and Outputs

Define the required inputs for the language model and the desired outputs you expect from the system.

3. Create Informative Prompts

Craft prompts that convey the expected behaviour to the model. These questions should be concise, clear, and tailored to the purpose. Discovering the most effective prompts may require some trial and error and fine-tuning.

4. Iterate and Evaluate

Test the created prompts by inputting them into the language model and assessing the results. Analyse the outcomes, identify any shortcomings, and adjust the instructions to enhance performance.

5. Calibration and Fine-tuning

Take into account the findings from the evaluation when calibrating and fine-tuning the prompts. This process involves making minor adjustments to achieve the desired model behaviour, ensuring it aligns with the intended task and requirements.

Empowering Minds: The Significance of AI Prompt Engineer Courses

In the evolving landscape of AI and generative technologies, the role of an AI prompt engineer has gained immense significance. As AI models like ChatGPT continue to shape our digital interactions, prompt engineers play a crucial role in understanding and directing these powerful models. To become an adept prompt engineer, one can opt for a prompt engineer course, a structured program that imparts the essential skills and knowledge required to master this field. Attaining a prompt engineer certification or AI certification not only validates one's expertise but also opens doors to lucrative career opportunities. In a world where the demand for skilled prompt engineers is on the rise, these courses provide the foundation for individuals to harness the potential of AI and contribute to the ever-expanding realm of generative AI.

In conclusion, prompt engineering is an evolving and impactful technique in NLP. It empowers users to have greater control over AI systems, reduce biases, and customize model behaviour for various applications. With ongoing research and collaboration within the NLP community, prompt engineering continues to shape the future of AI, making it more accessible, reliable, and equitable. For those seeking AI and prompt engineering certifications, Blockchain Council is at the forefront, bridging the gap between aspiring professionals and the exciting world of AI prompt engineering. Blockchain Council, renowned for its expertise in blockchain technology, extends its commitment to empowering individuals in the world of AI prompt engineering. As a group of subject experts and enthusiasts, the Blockchain Council has a proven track record of providing authoritative courses and certifications in emerging technologies. With the growing importance of AI prompt engineering, Blockchain Council's courses and certifications equip learners with the essential skills and knowledge required to excel in this field.

[mkarchin713]

Thanks to Danny’s connections in the Zone as well as to Clockwork, Jazz quickly becomes known as a purveyor of not only modern firearms but also antique firearms.

Jazz swiftly becomes very popular in the historically accurate LARPing communities. She even has period accurate ammo.

Not only that but thanks to her Fenton genes she is a pro at customization, and the creation of specialized non-lethal ammo. Her Fenton Foamer bullets are particularly popular.

Jazz still puts her psychoanalyzing to good use, and refuses to sell to those who don’t pass her vibe check or her gun safety course.

Short DPXDC Prompts #1032

Jazz has gotten far better in aim and weaponry over the years. She never expected to get into gun collecting but here she is, opening a gun store in the heart of Gotham. If you ask politely, she might just let you peruse her special collection in the back. It’s chalk full of Fenton weaponry and her own custom builds. It’s stuff that an ATF auditor would take one look at and shut down her entire store without a second thought. Lucky for Jazz, the local rogues gallery has long since scared the ATF from stepping foot in Gotham.

[trendingitcourses]

GenAI Training in Hyderabad | Generative AI Training

Master Generative AI Creativity with Gen AI Online Training: A Beginner’s Guide

Generative AI represents a ground breaking advancement in artificial intelligence, focusing on creating content such as text, images, audio, and even video. It leverages sophisticated machine learning models like GPT (Generative Pre-trained Transformers) to produce human-like outputs. For beginners looking to delve into this exciting field, structured learning programs like GenAI Training are essential to build a solid foundation in this transformative technology.

Understanding Generative AI

At its core, Generative AI mimics human creativity by analyzing vast datasets and generating original content. Unlike traditional AI systems designed to recognize patterns or make decisions, Generative AI creates something entirely new. Examples include generating realistic human faces using GANs (Generative Adversarial Networks) or crafting conversational text with tools like ChatGPT. Through specialized programs such as a Generative AI Training Course, learners can explore the principles behind these innovations.

Professionals interested in hands-on knowledge often opt for a Generative AI Course in Hyderabad or GenAI Online Training, where they can gain expertise in deploying these models across industries. These courses cover essential concepts like neural networks, natural language processing (NLP), and multimodal AI.

Applications of Generative AI

Generative AI is revolutionizing various sectors:

Healthcare: AI-driven models assist in generating synthetic medical data for research.

Entertainment: It enables realistic animations and procedural game content.

Business: Generative AI tools optimize marketing with personalized content creation.

In Hyderabad, a technology hub, professionals are increasingly turning to Gen AI Training in Hyderabad to upskill and take advantage of the growing demand for AI expertise. Additionally, institutions offering a GenAI Course in Hyderabad provide a local and accessible way to master these cutting-edge skills.

Why Learn Generative AI?

Generative AI is not just a buzzword; it’s a skill set that opens doors to lucrative career opportunities. By enrolling in programs like Generative AI Training Course, learners can unlock the potential to innovate across domains. Whether you’re interested in text generation, image synthesis, or AI ethics, training programs provide the tools and knowledge to succeed.

Institutes offering Generative AI Online Training allow professionals to learn at their convenience, making this technology accessible globally. Meanwhile, city-specific programs such as Generative AI Course in Hyderabad cater to the growing AI community in bustling tech cities, equipping learners with practical, industry-relevant skills.

Conclusion

Generative AI is reshaping how we interact with technology, offering endless possibilities for innovation and creativity. Whether you’re an aspiring data scientist or a business professional, understanding Generative AI through programs like GenAI Training or Generative AI Training Course is crucial to staying competitive in this evolving field.

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[promptengineeringcourse]

Prompt Engineering  Recorded Demo Video

Mode of Training: Online

Contact +91-9989971070

👉Watch Demo Video @ https://youtu.be/75nViETe51Y

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[nishtha135]

Getter and setters in object oriented programming language:

[jcmarchi]

Mastering the Art of AI Prompts: 5 Techniques for Advanced Users

New Post has been published on https://thedigitalinsider.com/mastering-the-art-of-ai-prompts-5-techniques-for-advanced-users/

Mastering the Art of AI Prompts: 5 Techniques for Advanced Users

The use of large language models (LLMs) like ChatGPT is exploding across industries. Even scientists are leaning on AI to write or at least polish their work. A recent analysis of five million scientific studies published in 2023 found a rapid increase in certain words, such as meticulous, intricate, and commendable. The reason for this increase? The use of LLMs. 

AI’s impact is already massive, rapidly transforming the workplace. But we’re still at the early stages, trying to strike a balance between harnessing AI without leaning too much on it and compromising quality. At my company Jotform, we have incorporated AI tools to automate tedious tasks, or as I call it, “busywork,” and free up employees to focus on the meaningful work that only humans can do. I view AI tools like ChatGPT as valuable resources—low-cost, efficient AI assistants. But as anyone who’s used ChatGPT will tell you, it’s not 100% reliable or accurate. And it’s only as effective as the prompts you give it.

I recently asked ChatGPT how to develop your prompt engineering skills. The first response was: “Experimentation and Iteration: Continuously experiment with different types of prompts and refine them based on the AI’s outputs. Track what works and what doesn’t, and iteratively improve your prompts.” 

In other words, practice makes perfect. 

With this in mind, here are my top strategies for taking your prompt writing to the next level. 

Try meta-prompts

Communication is the lynchpin of a successful relationship. Understanding how people communicate and how to best communicate with them can help grow a stronger bond and overcome inevitable misunderstandings when there is a disconnect between words and intentions or emotions. In the same vein, your interactions with ChatGPT can vastly improve if you explicitly ask it how to best communicate with it. I regularly ask ChatGPT how to phrase prompts in order to get the information or feedback I’m seeking. The more information you give ChatGPT about the results you’re after, the better it can help you generate an effective prompt. 

Here’s a sample meta-prompt:

“How would you phrase a prompt to get detailed feedback on an article from ChatGPT? What information would you include to get the most relevant insight?”

In seconds, ChatGPT churned out a prompt template with a brief explanation of why it included each part of the prompt. This kind of insight helps you write better prompts in the future. 

Make it an ongoing dialogue

In most research tools, each query is isolated. You can’t build on a previous search to refine or dig deeper. ChatGPT has the advantage of enabling you to continue a thread, just like a dialogue between two people—a Socratic dialogue, if you will, where you are the teacher and ChatGPT is the student. I find this capability especially useful if I’m new to a subject and would like to begin with a basic level of understanding before diving into the nitty gritty.

To engage in dialogue with ChatGPT, start with a broad prompt and refine the subsequent prompts based on the responses. 

A sequence of prompts might look like this:

“In a few sentences, can you explain the mechanics of a tennis serve?”

“Why does the server shift their weight from the back foot to the front foot?”

“Can you briefly explain kinetic energy transfer?” 

This technique can help you to get more nuanced responses and explore areas and perspectives you might not have otherwise considered. 

Give ChatGPT a reference text

ChatGPT can be a bit of a smooth talker. Ask it about any subject under the sun and it will happily wax poetic for as long as you’d like. The rub: it’s not always accurate. That’s why providing ChatGPT a reference text can help ensure the replies you receive are grounded in reliable sources. 

As OpenAI explains, “In the same way that a sheet of notes can help a student do better on a test, providing reference text to these models can help in answering with fewer fabrications.” Feed ChatGPT the sources that you already know and trust and let the LLM extract the information you need. 

The prompt could be:

“Use the following article in quotes to answer questions.” 

ChatGPT: Sure, please go ahead and provide the articles you’d like me to use for answering your questions.

Then, provide ChatGPT with the article (title and publication will usually do the trick) and your questions. 

Assign ChatGPT a role

One of the most useful, and admittedly fun, capabilities of ChatGPT is to adopt different personas. You probably know the parable of the blind men and the elephant. Each man feels a different part of the elephant and describes the animal based on their limited perspective. As humans, we tend to assume our reality is correct even when it’s based on a limited point of view. Incorporating various perspectives empowers us to understand something more fully. 

By simply instructing ChatGPT to adopt a persona, we can get a new perspective.

Consider these two prompts and personas:

Prompt: Rewrite the following text from the perspective of a poet: A bridge over water connects two lands. 

ChatGPT:

Between shores, where rivers dance and whisper, A bridge, slender and resolute, spans the liquid silver, Uniting distant lands with an arch of promise, A testament to the yearning of hearts and soil.

Prompt: Rewrite the following text from the perspective of an engineer: A bridge over water connects two lands. 

ChatGPT

A bridge over water functions as a structural solution, effectively connecting two separate landmasses. It spans the gap with precision-engineered materials, ensuring stability and durability while facilitating transportation and communication between the two regions.

At Jotform, our marketing team might use this technique to examine an issue from the perspective of different buyer personas. It’s a simple technique with myriad use cases. 

Model the reply you want

While ChatGPT might not be the most reliable narrator, it is extremely logical. Rather than trying to describe the response you want, which can be surprisingly challenging, you can give ChatGPT an example and it will apply the same logic. 

Let’s say I’m working on a marketing campaign and want to use ChatGPT to come up with snappy, compelling copy. 

I could use the following prompt:

Prompt: “I will write words and I’d like you to come up with a corresponding adjective. For example, if I write ‘pretty,’ you might write “more beautiful than the stars in the sky.”

ChatGPT: 

Of course, I’m ready! Please provide the words you’d like me to transform.

Me: nervous

ChatGPT: Nervous as a leaf trembling in the gale of a tempest.

I might consider that on second thought, that’s not the tone I’m after. So I tweak the prompt. 

Prompt: I will write words and I’d like you to come up with a corresponding adjective. For example, if I write ‘pretty,’ you might write “cuter than the prize-winning pig at the Texas State Fair.”

ChatGPT: Got it! Please provide the words you’d like me to transform.

Me: nervous

ChatGPT: Nervous as a cat at a rocking chair convention.

In this case, I’d get an idea for my marketing copy—and a chuckle, at no extra charge.

[uxgaip]

In case you have missed it! Must watch and for budding UX, Generative AI and Prompt Engineering Enthusiast, the below link is for you though is WIP but your feedback is important

[lunarenterprises01]

Robotic Engineering Degree in USA

Your Path to a Robotic Engineering Degree in the USA

Are you interested in pursuing a career in robotics and seeking employment opportunities? Fortune Robotics is the destination for those who want to start an exciting journey and earn a BS degree in robots.

What Sets Us Apart?

Is your passion for robotics strong enough to qualify you for a position at Fortune Robotics? 

For example, you'll learn about autonomous systems, machine learning, computer vision, and more, and make sure you're well-prepared to meet the challenges of the rapidly evolving robotics industry.

Hands-on experience: We understand the importance of hands-on experience in preparing you for a successful robotics career. That's why our program includes extensive hands-on training that allows you to work with the latest robotic systems and gain valuable real-world skills.

Team of Experts: Our experts are industry and academic experts committed to providing you with advanced training. You will benefit from their extensive knowledge and experience and receive guidance and mentoring throughout the program.

Industry Connections: Fortune Robotics has established strong relationships with leading companies and organizations in the robotics industry. Through internships, networking events and industry partnerships, you will have the opportunity to interact with key industry players and gain insight into the latest industry trends.

Career Support: We are dedicated to helping you start a successful robotics career. Our career services team offers personalized help with CV writing, interview preparation and job placements, ensuring you are ready for work after graduation. There you can start an exciting journey to a robotics degree in the USA. 

Why Choose Fortune Robotics?

Flexibility: We understand that our students have different responsibilities and obligations. Our flexible class schedules and online learning options make it easy to complete your degree and balance other areas of life.

Advanced: facilities and resources for hands-on learning and research are available at Fortune Robotics. Our lab is equipped with the latest robotic systems, enabling you to immerse yourself in hands-on learning experiences.

Career Opportunities: With a robotics degree from Fortune Robotics, you are well-positioned for many career opportunities. Whether you're interested in robotics research, autonomous vehicle development, or industrial automation, our program will prepare you for success in the field.

Innovation and Creativity: We foster a culture of innovation and creativity by encouraging our students to think outside the box and push the boundaries of what robotics can do. Through project-based learning and collaborative initiatives, you'll have the opportunity to unleash your creativity and make a significant impact in the industry.

Accreditation: Fortune Robotics prides itself on its accreditation, which ensures that your degree is of the highest quality and recognized in the industry.

Please sign up for Fortune Robotics Now!

If you're ready to start a rewarding career in robotic engineering, Fortune Robotics is here to help you at every step of the way. Our advanced technology instruction, practical training, industry connections, and career counseling will prepare you to take on the opportunities and difficulties of the rapidly evolving robotics sector.

The chance to obtain a degree in Robotic Engineering in the United States of America should not be missed. Join Fortune Robots to realize your potential in the exciting world of robots.

For More Details Visit Our Website - https://fortunerobotics.com/

Mail id - contact@fortunerobotics.com

Contact Us - +1 (347) 728-4015

[novelistwriter]

Retired Phantom

DP x DC Prompt

There is a new teacher at Gotham Academy. Mr. Nightingale is someone who has a mostly clean record. The only stains on his record is being the son to two villains who have been put behind bars and being under a witness protection program to one Vlad Masters.

He was hired because Gotham Academy is in need of not only a Chemistry Teacher and an Engineering Teacher as well, so he will be paid double the amount of money because of him filling two roles.

The students of Gotham Academy are waiting to see if Mr. Nightingale will become a Rogue of Gotham or move on to following his parents' footsteps elsewhere with becoming a Villain to a different Hero.

What the students of Gotham Academy weren't expecting of Mr. Nightingale is that he's a pretty good guy. He's understanding of the students, doesn't give a lot of extra homework to do, and is always bringing snacks for hungry students, including vegan snacks for one Damian Wayne and other vegan students. The only anomaly to Mr. Nightingale is that he is constantly taking eyedrops every hour.

Danny is living pretty okay right now. His friends have moved out of Amity before him to pursue their dreams. They do keep in contact, but collage life keeps them busy. His parents were arrested by the Justice League, and the GIW was disbanded by the Justice League as well. Vlad couldn't get custody of Danny because of both Jazz and the Justice League listening to him about not wanting to be with Vlad. So he's living with his sister until he's old enough to live on his own.

Of course, Vlad wouldn't give up. He kept trying as Plasmius to get him to join the Fruitloop. As soon as Danny got his teaching license, something he wanted other than becoming an astronaut, he and Vlad had engaged in a battle that led to the Fruitloops Castle. The battle lasted a long time, both Halfa's badly hurt, but Danny most of all, as he may be the Prince of the Infinite Realms, but he doesn't have the Crown of Flames or the Ring of Rage to help him. His Ghost Half sustained a lot of damage, with the only injury that transferred to his human half was the burns to his eyes. This is how the Justice League found Danny in Vlad's Castle (as a human and not Phantom), Jazz had called the Justice League because Danny wasn't back yet. Now, he's got to take special eyedrops provided by Frostbite to help his human eyes heal and to help his Ghost Hlaf eyes heal as well.

He was put under witness protection for his safety, and considering that he's living in Gotham, he's got Montoya, some other trusted GCPD officers, and a Bat constantly with him. He's given up on being a hero, as becoming the Prince to the Infinite Realms has overwritten his Ghostly obsession to become the King when he's of age. The only downside is that the Bats and the Justice League are asking around for Phantom. He doesn't want to involve himself in anymore Hero matters, but that will change as he gets more involved with the Wayne family.

[esportsduniya]

Prompt Engineering 101: Unlock the Power of AI's Creativity

Prompt Engineering 101: Unlock the Power of AI’s Creativity Welcome to Prompt Engineering 101! This course will guide you through the basics of shaping AI outputs to your will, turning words into magic spells for creativity and productivity. Let’s take your first steps into this fascinating world! AI Generated Art Module 1: The Fundamentals What is Prompt Engineering? Uncover the secret sauce…