#chatgpt prompt engineering course

[genzeeacademy]

[businessiideahindi]

Prompt Engineering से पैसे कमाएँ |Unique way to earn money online..

Prompt Engineering : online सफलता के लिए प्रभावी Prompt डिज़ाइन करना | Online संचार के तेजी से विकसित हो रहे परिदृश्य में, Prompt Engineering एक महत्वपूर्ण कौशल के रूप में उभरी है, जो जुड़ाव बढ़ाने, बहुमूल्य जानकारी देने और यहां तक ​​कि डिजिटल इंटरैक्शन का मुद्रीकरण करने का मार्ग प्रशस्त कर रही है। यह लेख Prompt Engineering की दुनिया पर गहराई से प्रकाश डालता है, इसके महत्व, सीखने के सुलभ…

[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.

[harisystems]

What is Prompt Engineer - Prompt Engineer Courses by Open AI - AI - Chat...

[theeuniversesays]

Expert_Juwelier

2 days agoPrompt Engineering is the Alchemy of the Digital Age: turning words into actions, dreams into software. ?

✨ If coding was the job of yesterday, crafting the perfect prompt is tomorrow

#TechTrends #AIRevolution#TechInsights#promptengineering#chatgpt4

[blackjackkent]

Here is the thing that bothers me, as someone who works in tech, about the whole ChatGPT explosion.

The thing that bothers me is that ChatGPT, from a purely abstract point of view, is really fucking cool.

Some of the things it can produce are fucking wild to me; it blows my mind that a piece of technology is able to produce such detailed, varied responses that on the whole fit the prompts they are given. It blows my mind that it has come so far so fast. It is, on an abstract level, SO FUCKING COOL that a computer can make the advanced leaps of logic (because that's all it is, very complex programmed logic, not intelligence in any human sense) required to produce output "in the style of Jane Austen" or "about the care and feeding of prawns" or "in the form of a limerick" or whatever the hell else people dream up for it to do. And fast, too! It's incredible on a technical level, and if it existed in a vacuum I would be so excited to watch it unfold and tinker with it all damn day.

The problem, as it so often is, is that cool stuff does not exist in a vacuum. In this case, it is a computer that (despite the moniker of "artificial intelligence") has no emotional awareness or ethical reasoning capabilities, being used by the whole great tide of humanity, a force that is notoriously complex, notoriously flawed, and more so in bulk.

-----

During my first experiment with a proper ChatGPT interface, I asked it (because I am currently obsessed with GW2) if it could explain HAM tanking to me in an instructional manner. It wrote me a long explanatory chunk of text, explaining that HAM stood for "Heavy Armor Masteries" and telling me how I should go about training and preparing a character with them. It was a very authoritative sounding discussion, with lots of bullet points and even an occasional wiki link Iirc.

The problem of course ("of course", although the GW2 folks who follow me have already spotted it) is that the whole explanation was nonsense. HAM in GW2 player parlance stands for "Heal Alacrity Mechanist". As near as I've been able to discover, "Heavy Armor Masteries" aren't even a thing, in GW2 or anywhere else - although both "Heavy Armor" and "Masteries" are independent concepts in the game.

Fundamentally, I thought, this is VERY bad. People have started relying on ChatGPT for answers to their questions. People are susceptible to authoritative-sounding answers like this. People under the right circumstances would have no reason not to take this as truth when it is not.

But at the same time... how wild, how cool, is it that, given the prompt "HAM tanking" and having no idea what it was except that it involves GW2, the parser was able to formulate a plausible-sounding acronym expansion out of whole cloth? That's extraordinary! If you don't think that's the tightest shit, get out of my face.

----

The problem, I think, is ultimately twofold: capitalism and phrasing.

The phrasing part is simple. Why do we call this "artificial intelligence"? It's a misnomer - there is no intelligence behind the results from ChatGPT. It is ultimately a VERY advanced and complicated search engine, using a vast quantity of source data to calculate an output from an input. Referring to that as "intelligence" gives it credit for an agency, an ability to judge whether its output is appropriate, that it simply does not possess. And given how quickly people are coming to rely on it as a source of truth, that's... irresponsible at best.

The capitalism part...

You hear further stories of the abuses of ChatGPT every day. People, human people with creative minds and things to say and contribute, being squeezed out of roles in favor of a ChatGPT implementation that can sufficiently ("sufficiently" by corporate standards) imitate soul without possessing it. This is not acceptible; the promise of technology is to facilitate the capabilities and happiness of humanity, not to replace it. Companies see the ability to expand their profit margins at the expense of the quality of their output and the humanity of it. They absorb and regurgitate in lesser form the existing work of creators who often didn't consent to contribute to such a system anyway.

Consequently, the more I hear about AI lately, the more hopeful I am that the thing does go bankrupt and collapse, that the ruling goes through where they have to obliterate their data stores and start over from scratch. I think "AI" as a concept needs to be taken away from us until we are responsible enough to use it.

But goddamn. I would love to live in a world where we could just marvel at it, at the things it is able to do *well* and the elegant beauty even of its mistakes.

[youzicha]

Cool theory by gwern about the Bing chatbot:

Then you throw in the retrieval stuff, of course. As far as I know, this is the first public case of a powerful LM augmented with live retrieval capabilities to a high-end fast-updating search engine crawling social media*. (All prior cases like ChatGPT or LaMDA were either using precanned web scrapes, or they were kept secret so the search results never contained any information about the LM.) Perhaps we shouldn't be surprised if this sudden recursion leads to some very strange roleplaying & self-fulfilling prophecies as Sydney prompts increasingly fill up with descriptions of Sydney's wackiest samples whenever a user asks Sydney about Sydney... As social media & news amplify the most undesirable Sydney behaviors, that may cause that to happen more often, in a positive feedback loop. Prompts are just a way to fake long-term memory, after all. Something something embodied cognition?

* search engines used to refresh their index on the order of weeks or months, but the rise of social media like Twitter forced search engines to start indexing content in hours, dating back at least to Google's 2010 "Caffeine" update. And selling access to live feeds is a major Twitter (and Reddit, and Wikipedia etc) revenue source because search engines want to show relevant hits about the latest social media thing. (I've been impressed how fast tweets show up when I do searches for context.) Search engines aspire to real-time updates, and will probably get even faster in the future. So any popular Sydney tweet might show up in Bing essentially immediately. Quite a long-term memory to have: your engrams get weighted by virality...

We already complain about the effect Twitter has on the attention span and thinking skills of humans, but I guess it could be even worse for the AIs!

[reasoningdaily]

AI is creating amazing new jobs.

AI has created a field that never existed before — prompt engineering.

To work as a prompt engineer, you must know how to create prompts that generate desirable responses from AI models such as those used by ChatGPT.

The salary isn’t bad.

Artificial intelligence company, Anthropic, has a role for a “prompt engineer and librarian” with a salary range between $175,000 and $335,000.

And that’s not the only company looking for prompt engineers! Let’s see in more detail what prompt engineers do, how you can become a prompt engineer and what are the requirements for this role.

What does a prompt engineer do?

A prompt engineer is someone who develops and refines AI models using prompt engineering techniques. This is like teaching a model how to do something by giving step-by-step instructions or “prompts.”

Prompt engineers work with large language models like GPT-3 (or the new GPT-4), which can generate human-like responses to text prompts. Their work focuses on designing prompts that generate desirable responses from language models, as well as enhancing the models to provide more accurate and relevant text outputs.

Here are some tasks a prompt engineer does:

Optimize language models using established techniques and tools

Write prose to test AI systems for quirks (identify AI’s errors and hidden capabilities)

Review and analyze datasets to identify patterns and trends in language and develop new prompts

Develop and maintain documentation for language models (examples, instructions, best practices, etc)

Train language models on new data sets, and monitor model performance to identify areas for improvement

Collaborate with data scientists/software engineers to integrate language models into software applications and systems.

As you can see, prompt engineers don’t write code all day, but they still need some programming knowledge to be able to work with datasets, develop and fine-tune language models, and collaborate with data scientists and software engineers.

How to learn prompt engineering

You don’t need to know coding to start learning prompt engineering. In fact, in the following link, you can find 4 free prompt engineering courses to join the top 1% of ChatGPT users.

After learning the basics, follow the steps below to continue your path as a prompt engineer.

Learn the basics of programming: As a prompt engineer, you’ll need to work with datasets and understand basic programming concepts. Python can be a good language for this.

Learn natural language processing (NLP) and machine learning (ML) concepts: Prompt engineers need to know concepts in both NLP and ML such as text preprocessing, feature engineering, model training, and optimization.

Practice developing prompts and fine-tuning language models: Learn to use prompt engineering techniques to generate text outputs from language models. Test different prompt types and fine-tune language models to improve performance.

Create a portfolio of prompt engineering projects to showcase your expertise.

The prompt engineering job that pays $335k

Anthropic pays prompt engineers up to $335k. The company specializes in developing general AI systems and language models, which may explain the high salary. It’s no surprise that Google has invested nearly $400 million in this company.

Here are some of the requirements for this job:

Excellent communicator, and love teaching technical concepts and creating high-quality documentation that helps out others

High-level familiarity with the architecture and operation of large language models

Basic programming skills and would be comfortable writing small Python programs

Stay up-to-date and informed by taking an active interest in emerging research and industry trends.

Note that the field of prompt engineering is less than 2 years old, so the prompt engineer role may differ from one company to the next, and, just like any other job, the salary for prompt engineers also varies.

If we compare both job postings, we’ll see that the requirements are different. In the second job posting, they specifically require people with 5 years of engineering/coding experience with at least two-year experience in AI and NLP and a bachelor’s degree in computer science, artificial intelligence, or a related field (healthcare preferred).

Again, the requirements may be higher or lower in some companies, so if you don’t have any experience, a project portfolio is probably the best way to get ahead of other applicants.

Artificial Corner’s Free ChatGPT Cheat Sheet

We’re offering a free cheat sheet to our readers. Join our newsletter with 20K+ people and get our free ChatGPT cheat sheet.

[dalanmendonca]

The real challenges of AI

The real challenge of AI is democratisation.

We are in middle of a boom in AI. While it may seem like a sudden explosion in the media; this moment has been building for 15+ years now. From the birth of the internet, to the huge explosion in online information, to algorithmic feeds, then voice assistants, and now at Generative AI/Large language feeds - every invention has grown on the bedrock of technologies before it.

Of course, the fervour we see now is from people experiencing a step change in technology. Till December 2022 you had to write eassy using your own brain and hands; come January 2023 you just provide a small prompt and voila! ChatGPT will write a whole essay for you. WOW.

But we've played this game many times before:

New technology is available

The technology gets hyped and people are promised a better future

Technology gets widely deployed

In the process of societal adoption, it gets co-opted by

Eventually, it gets completely owned by . The new boss is the same as the old boss. The average person is nowhere better.

One interesting aspect of computers is that they are comparatively much more accessible; order(s) of magnitude more accessible.

The steam engine was firmly on the capital side of the equation; it powered everything from trains to factories but it was a while before mechanisation entered the home and became accessible to the average person. Yet overtime we've given up on things like sewing machines and become strictly consumers.

Computing and the internet sit firmly in the middle. Almost by definition - every laptop & smartphone is the "means of production". The entire "internet" however is but a handful of companies; yet because of its inherently decentralised nature; everything from Mastodon to torrents and more can and do exist.

If it wasn't for that design; the internet would like the TV - with much less control in the hands of citizens.

The challenge with AI is to keep it's capabilities as democratically accessibly and user programable as possible; with the internet being the minimum bar. Thankfully with models being open sourced and even run on Raspberry Pi's, we are off to a good start! But we must remain watchful and make sure this happens.

People of my ilk (technologists) are gung ho about applying AI to anything and everything - but this question of democratisation is much fundamental and its effects more pervasive.

[toppromptengineeringcourse]

Top Prompt Engineering courses online - Visualpath

What Are the Emerging Trends in Prompt Engineering?

Prompt Engineering courses online are becoming more popular as artificial intelligence (AI) continues to grow and change how we work and live. These courses teach people how to write clear and effective instructions, known as prompts, that help AI systems perform tasks correctly. AI models like ChatGPT and GPT-4 rely on well-crafted prompts to give useful and accurate answers. By enrolling in Prompt Engineering courses online, you can learn these skills and prepare for the future of AI.

Prompt engineering is now a key skill for industries looking to use AI effectively. Companies use prompt engineering to create chatbots, automate tasks, and analyze data more efficiently. With the rising demand, programs like the Prompt Engineering course in Hyderabad are helping people build expertise in this area. Let’s look at the latest trends shaping prompt engineering and why they matter.

Making Prompts for Specific AI Models

AI systems like ChatGPT and Bard are built differently, which means the prompts you give them need to be customized for the best results. This is why many Prompt Engineering courses online focus on teaching model-specific techniques. Learners discover how each AI system processes information and how to create prompts that suit their strengths.

For example, some AI models are better at generating creative writing, while others are ideal for handling technical queries. A course like the Prompt Engineering training in Hyderabad helps learners understand these differences. By knowing how to tailor prompts, you can ensure that the AI delivers accurate and meaningful responses.

Promoting Ethical AI Use

As AI becomes more common in decision-making, it’s important to ensure that it doesn’t create biased or unfair outcomes. Ethical prompting is a big focus in many Prompt Engineering courses online. These programs teach how to write prompts that avoid stereotypes or harmful content.

For instance, in industries like healthcare or banking, an unethical prompt could lead to incorrect decisions or harm customers. By learning about ethical prompting, you can create fair and balanced AI outputs. This trend is important because it builds trust in AI systems, which is critical for their widespread adoption.

Real-Time Prompt Improvement

Many AI applications, such as customer service bots, need prompts that can adapt quickly to changing conversations. This has led to the need for real-time prompt optimization. Courses on Prompt Engineering training now include lessons on how to adjust prompts on the spot to keep interactions smooth.

Imagine a customer asking a chatbot a complex question. The bot must adapt its responses based on the evolving conversation. Prompt engineers now use advanced tools to analyze how prompts perform in real-time and improve them immediately. This trend is helping businesses provide better customer experiences and handle queries more effectively.

Working with Multimodal AI Systems

Modern AI systems possess the ability to process and analyze various forms of data simultaneously, including text, images, and audio. These are called multimodal AI systems, and they require special prompts to function properly. Many Prompt Engineering courses online now teach how to create prompts for these advanced systems.

For example, a doctor might use an AI system to analyze patient images along with medical notes. The prompts for this system would need to combine instructions for both text and visuals. Learning to handle multimodal data is an important skill for future prompt engineers, as it expands what AI can do.

Industry-Specific Applications

Prompt engineering is now being tailored to specific industries. Instead of using general AI systems, businesses are using customized prompts to solve specific problems. Many Prompt Engineering courses online now include lessons on how to create prompts for industries like healthcare, retail, and manufacturing.

For example, in healthcare, prompts are used to improve diagnosis accuracy and streamline patient interactions. In retail, AI systems analyze customer behaviour and suggest personalized recommendations. Industry-specific training helps professionals understand how to apply prompt engineering in their field, making it more effective and impactful.

Using AI to Improve Prompts

AI tools are now being used to assist in writing and refining prompts. This trend is making the process faster and more efficient. Many advanced Prompt Engineering training programs teach how to use AI to create better prompts and reduce repetitive tasks.

For example, AI tools can suggest improvements for your prompts or even evaluate their effectiveness. This allows prompt engineers to focus on more creative or strategic aspects of their work. By using AI to assist with prompt engineering, professionals can save time and improve the quality of their outputs.

Learning Collaboration Skills

Prompt engineering is not a solo activity. Many projects require teams to work together to design the best prompts. This is why courses like the Prompt Engineering course in Hyderabad now include training on collaboration and teamwork.

For example, when creating an AI-powered chatbot for a company, engineers might need to work with designers, developers, and business managers. By learning collaboration skills, prompt engineers can communicate their ideas better and work more effectively with others.

Adapting to Global Needs

AI is used worldwide, and prompt engineers need to consider cultural and language differences when writing prompts. Many Prompt Engineering courses online now cover how to write prompts that work across different languages and cultural contexts.

For instance, a prompt for an AI system in the U.S. might not work the same way in India or Japan. Engineers must adjust their prompts to ensure the AI understands local customs and preferences. This trend is helping businesses expand globally and serve diverse audiences better.

Conclusion

Prompt engineering is an exciting and fast-growing field with endless possibilities. As AI becomes more advanced, the need for skilled prompt engineers will only increase. By enrolling in Prompt Engineering courses online, you can learn the latest techniques and stay ahead in this evolving industry.

Whether you are looking to take a Prompt Engineering course to start your career or join a Prompt Engineering training in Hyderabad for specialized skills, there are many opportunities to grow. With trends like ethical prompting, multimodal systems, and industry-specific applications, prompt engineering is becoming a critical skill for the future. By mastering it, you can play a key role in shaping how AI is used in the world.

Visualpath is the Leading and Best Institute for learning in Hyderabad. We provide Prompt Engineering Course. You will get the best course at an affordable cost.

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[jcmarchi]

MIT faculty, instructors, students experiment with generative AI in teaching and learning

New Post has been published on https://thedigitalinsider.com/mit-faculty-instructors-students-experiment-with-generative-ai-in-teaching-and-learning/

MIT faculty, instructors, students experiment with generative AI in teaching and learning

How can MIT’s community leverage generative AI to support learning and work on campus and beyond?

At MIT’s Festival of Learning 2024, faculty and instructors, students, staff, and alumni exchanged perspectives about the digital tools and innovations they’re experimenting with in the classroom. Panelists agreed that generative AI should be used to scaffold — not replace — learning experiences.

This annual event, co-sponsored by MIT Open Learning and the Office of the Vice Chancellor, celebrates teaching and learning innovations. When introducing new teaching and learning technologies, panelists stressed the importance of iteration and teaching students how to develop critical thinking skills while leveraging technologies like generative AI.

“The Festival of Learning brings the MIT community together to explore and celebrate what we do every day in the classroom,” said Christopher Capozzola, senior associate dean for open learning. “This year’s deep dive into generative AI was reflective and practical — yet another remarkable instance of ‘mind and hand’ here at the Institute.”  

Play video

2024 Festival of Learning: Highlights

Incorporating generative AI into learning experiences 

MIT faculty and instructors aren’t just willing to experiment with generative AI — some believe it’s a necessary tool to prepare students to be competitive in the workforce. “In a future state, we will know how to teach skills with generative AI, but we need to be making iterative steps to get there instead of waiting around,” said Melissa Webster, lecturer in managerial communication at MIT Sloan School of Management. 

Some educators are revisiting their courses’ learning goals and redesigning assignments so students can achieve the desired outcomes in a world with AI. Webster, for example, previously paired written and oral assignments so students would develop ways of thinking. But, she saw an opportunity for teaching experimentation with generative AI. If students are using tools such as ChatGPT to help produce writing, Webster asked, “how do we still get the thinking part in there?”

One of the new assignments Webster developed asked students to generate cover letters through ChatGPT and critique the results from the perspective of future hiring managers. Beyond learning how to refine generative AI prompts to produce better outputs, Webster shared that “students are thinking more about their thinking.” Reviewing their ChatGPT-generated cover letter helped students determine what to say and how to say it, supporting their development of higher-level strategic skills like persuasion and understanding audiences.

Takako Aikawa, senior lecturer at the MIT Global Studies and Languages Section, redesigned a vocabulary exercise to ensure students developed a deeper understanding of the Japanese language, rather than just right or wrong answers. Students compared short sentences written by themselves and by ChatGPT and developed broader vocabulary and grammar patterns beyond the textbook. “This type of activity enhances not only their linguistic skills but stimulates their metacognitive or analytical thinking,” said Aikawa. “They have to think in Japanese for these exercises.”

While these panelists and other Institute faculty and instructors are redesigning their assignments, many MIT undergraduate and graduate students across different academic departments are leveraging generative AI for efficiency: creating presentations, summarizing notes, and quickly retrieving specific ideas from long documents. But this technology can also creatively personalize learning experiences. Its ability to communicate information in different ways allows students with different backgrounds and abilities to adapt course material in a way that’s specific to their particular context. 

Generative AI, for example, can help with student-centered learning at the K-12 level. Joe Diaz, program manager and STEAM educator for MIT pK-12 at Open Learning, encouraged educators to foster learning experiences where the student can take ownership. “Take something that kids care about and they’re passionate about, and they can discern where [generative AI] might not be correct or trustworthy,” said Diaz.

Panelists encouraged educators to think about generative AI in ways that move beyond a course policy statement. When incorporating generative AI into assignments, the key is to be clear about learning goals and open to sharing examples of how generative AI could be used in ways that align with those goals. 

The importance of critical thinking

Although generative AI can have positive impacts on educational experiences, users need to understand why large language models might produce incorrect or biased results. Faculty, instructors, and student panelists emphasized that it’s critical to contextualize how generative AI works. “[Instructors] try to explain what goes on in the back end and that really does help my understanding when reading the answers that I’m getting from ChatGPT or Copilot,” said Joyce Yuan, a senior in computer science. 

Jesse Thaler, professor of physics and director of the National Science Foundation Institute for Artificial Intelligence and Fundamental Interactions, warned about trusting a probabilistic tool to give definitive answers without uncertainty bands. “The interface and the output needs to be of a form that there are these pieces that you can verify or things that you can cross-check,” Thaler said.

When introducing tools like calculators or generative AI, the faculty and instructors on the panel said it’s essential for students to develop critical thinking skills in those particular academic and professional contexts. Computer science courses, for example, could permit students to use ChatGPT for help with their homework if the problem sets are broad enough that generative AI tools wouldn’t capture the full answer. However, introductory students who haven’t developed the understanding of programming concepts need to be able to discern whether the information ChatGPT generated was accurate or not.

Ana Bell, senior lecturer of the Department of Electrical Engineering and Computer Science and MITx digital learning scientist, dedicated one class toward the end of the semester of Course 6.100L (Introduction to Computer Science and Programming Using Python) to teach students how to use ChatGPT for programming questions. She wanted students to understand why setting up generative AI tools with the context for programming problems, inputting as many details as possible, will help achieve the best possible results. “Even after it gives you a response back, you have to be critical about that response,” said Bell. By waiting to introduce ChatGPT until this stage, students were able to look at generative AI’s answers critically because they had spent the semester developing the skills to be able to identify whether problem sets were incorrect or might not work for every case. 

A scaffold for learning experiences

The bottom line from the panelists during the Festival of Learning was that generative AI should provide scaffolding for engaging learning experiences where students can still achieve desired learning goals. The MIT undergraduate and graduate student panelists found it invaluable when educators set expectations for the course about when and how it’s appropriate to use AI tools. Informing students of the learning goals allows them to understand whether generative AI will help or hinder their learning. Student panelists asked for trust that they would use generative AI as a starting point, or treat it like a brainstorming session with a friend for a group project. Faculty and instructor panelists said they will continue iterating their lesson plans to best support student learning and critical thinking. 

Panelists from both sides of the classroom discussed the importance of generative AI users being responsible for the content they produce and avoiding automation bias — trusting the technology’s response implicitly without thinking critically about why it produced that answer and whether it’s accurate. But since generative AI is built by people making design decisions, Thaler told students, “You have power to change the behavior of those tools.”

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What are Prompt Engineering Courses?

In today’s fast-changing world of artificial intelligence (AI), prompt engineering has become an important skill, especially with advanced language models like ChatGPT. As AI technology keeps evolving and being used in different fields, knowing how to interact with these models is vital. This skill is not just limited to asking questions or giving commands, it involves a solid grasp of how AI models understand language, context, and intent.

Prompt engineering courses are specifically designed to give the students relevant skills and knowledge that are important to work with artificial intelligence models. AI technology has become a part of various sectors and industries, which is why effective communication with these models have also become salient. The curriculum of this course emphasizes the relevance of teaching participants how to articulate questions. 

Prompt Engineering Courses in India

AI has become an important part of the formal sector. A variety of educational platforms and institutions are now offering prompt engineering courses for both beg.....

Want to learn more? Read our full blog here: Prompt Engineering Courses

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Guide to Using ChatGPT and MidJourney for Generating Consistent Income in Various Industries

In today's rapidly evolving technological landscape, the power of AI tools like ChatGPT and MidJourney offers immense opportunities to generate consistent income across various industries. Whether you're a freelancer, entrepreneur, or business owner, understanding how to leverage these tools can set you on the path to success. This guide will show you how to effectively use ChatGPT and MidJourney in different sectors to create a sustainable income stream.

1. Introduction: Why ChatGPT and MidJourney Matter

The rise of artificial intelligence has revolutionized multiple industries. ChatGPT is a language model designed to assist with tasks like writing, research, and customer service, while MidJourney is an AI tool focused on creating stunning visuals and designs from text prompts. When combined, these tools can complement each other, unlocking new income-generating opportunities.

2. ChatGPT for Content Creation and Writing

One of the most straightforward ways to start earning with ChatGPT is by using it for content creation. ChatGPT excels at writing blog posts, articles, social media content, and even books.

Income Streams:

Freelance Writing: Offer writing services on platforms like Upwork, Fiverr, and Freelancer. ChatGPT can speed up the writing process, allowing you to take on more clients.

Blogging: Create a blog in a niche you're passionate about. Use ChatGPT to generate articles quickly, optimize them for SEO, and monetize through affiliate marketing, ads, or sponsored content.

Copywriting: Use ChatGPT for advertising copy, email campaigns, and product descriptions. Many businesses need high-quality copy for their websites and marketing materials.

Tips for Success:

Focus on niches with high demand for content, such as health, finance, or technology.

Use SEO techniques to ensure your content ranks well on search engines.

Regularly update your portfolio to attract higher-paying clients.

3. MidJourney for Visual Content Creation

MidJourney is a powerful AI tool for generating visually appealing images, graphics, and illustrations from text prompts. This can be extremely valuable for creators, marketers, and businesses.

Income Streams:

Stock Photography: Create and sell unique images generated with MidJourney on platforms like Shutterstock, Adobe Stock, or Getty Images.

Design Services: Offer design services for social media posts, website banners, logos, and more. MidJourney’s ability to generate custom designs makes it an excellent tool for digital marketing.

Print-on-Demand: Create custom designs for merchandise such as t-shirts, mugs, and posters. Sell them on platforms like Redbubble, Teespring, or Etsy.

Tips for Success:

Understand the types of designs that are trending in the market and tailor your creations accordingly.

Build a portfolio showcasing your best work to attract clients and customers.

Use MidJourney to create unique designs that can’t easily be found elsewhere, offering you a competitive edge.

4. Combining ChatGPT and MidJourney for Comprehensive Digital Products

Both ChatGPT and MidJourney can be used in tandem to create digital products that can be sold online, from eBooks to online courses.

Income Streams:

EBooks and Guides: Use ChatGPT to write an informative eBook, then use MidJourney to design a captivating cover. Sell your eBook on platforms like Amazon Kindle or Gumroad.

Online Courses: Create a course on a subject you’re knowledgeable about. ChatGPT can help you script the lessons, while MidJourney can assist with creating supporting visuals and slides.

Digital Art and Printables: Use both tools to create printable planners, calendars, or artworks. These can be sold on Etsy or your own website.

Tips for Success:

Ensure the quality of your digital products by carefully crafting the content and design to appeal to your target audience.

Promote your products through social media, email marketing, or paid ads to reach a wider audience.

5. ChatGPT for Customer Support and Virtual Assistance

Many businesses require customer support services or virtual assistants to handle customer inquiries, schedule appointments, or provide general information. ChatGPT can be used to automate much of this work, reducing costs and increasing efficiency.

Income Streams:

Customer Service Automation: Offer businesses a service that integrates ChatGPT to handle basic customer support queries, reducing their overhead costs.

Virtual Assistance: Use ChatGPT to assist in tasks such as email management, scheduling, and content creation. You can offer these services on freelancing platforms or build your own virtual assistant business.

Tips for Success:

Create scripts and workflows that make your use of ChatGPT as efficient as possible.

Market your services to small and medium-sized businesses that may not have the resources to hire full-time employees.

6. Using ChatGPT for Market Research and Consulting

Consulting is another area where ChatGPT can be a game-changer. It can assist in conducting market research, writing reports, and offering valuable insights to clients in various industries.

Income Streams:

Market Research: Offer market research services using ChatGPT to analyze trends, gather data, and summarize findings. This is valuable to businesses looking for actionable insights without the need for a large research team.

Business Consulting: Use ChatGPT to generate ideas, analyze competition, and create strategies for businesses. Consulting services can be charged on an hourly or project basis.

Tips for Success:

Specialize in a niche area of consulting where your expertise and ChatGPT’s capabilities can complement each other.

Build a strong online presence through networking, content marketing, and social proof (testimonials, case studies).

7. MidJourney for Marketing Campaigns and Branding

MidJourney’s ability to generate high-quality visuals can be invaluable in marketing campaigns and branding efforts.

Income Streams:

Marketing Collateral Design: Create banners, infographics, and other visual assets for businesses looking to improve their branding. Sell these services as a package to small businesses or startups.

Ad Campaign Design: Use MidJourney to design eye-catching visuals for paid ad campaigns on Facebook, Instagram, and Google. Many businesses are looking for high-conversion visuals.

Tips for Success:

Understand the brand guidelines and target audience of your clients to create relevant and impactful visuals.

Develop a system to deliver designs quickly, as businesses often need marketing assets on tight deadlines.

8. Future Opportunities: How AI Tools Will Evolve

As AI tools like ChatGPT and MidJourney continue to evolve, new opportunities will arise for individuals and businesses to create value and generate income. Keeping an eye on emerging trends and adapting to new capabilities will ensure you stay ahead of the curve.

Emerging Opportunities:

AI-Driven Content Personalization: Use AI tools to create hyper-personalized content for businesses that can engage customers on a deeper level.

AI-Generated Virtual Events: Use AI tools to help businesses create virtual experiences, from content creation to event design.

Conclusion: How to Get Started

The key to generating consistent income with ChatGPT and MidJourney is to understand their strengths and how they can be applied across various industries. Whether you’re providing content creation services, developing digital products, or offering consulting, these AI tools can streamline your workflow and open up new income opportunities. Start small, experiment with different applications, and gradually build a diverse income portfolio that relies on both tools.

By keeping up with the evolving landscape of AI, you’ll not only increase your income potential but also position yourself as a forward-thinking professional in your field. Happy creating!

FAQs

How can I start using ChatGPT for content creation?

Begin by offering writing services on freelancing platforms, or create your own blog or social media content using ChatGPT to assist with drafting and editing.

Can MidJourney generate images for commercial use?

Yes, you can use MidJourney to create original images that can be sold on stock image platforms or used for marketing materials.

How can I combine ChatGPT and MidJourney for digital products?

Use ChatGPT to write eBooks or courses and MidJourney to create visuals like covers, slides, or infographics. Sell them on platforms like Gumroad or Etsy.

Can ChatGPT be used for customer service automation?

Yes, ChatGPT can automate customer service by handling common inquiries and freeing up human agents for more complex tasks.

What are the best platforms for selling designs created with MidJourney?

Popular platforms for selling MidJourney-generated designs include Etsy, Redbubble, and Society6 for printables, as well as stock photo websites like Shutterstock and Adobe Stock.

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Educational Aspects of Prompt Engineering

Large Language Models (LLMs), exemplified by OpenAI's ChatGPT, have become increasingly prominent in the ever-changing field of artificial intelligence. This technology demonstrates the potential to change human-machine interactions through the intelligent use of language and computer power. 'Prompt engineering' is the driving force behind this change. This complex procedure involves crafting text prompts to direct LLMs efficiently and disregarding the necessity for intensive model training.

Careful, timely design can significantly increase the effectiveness of large language models. These cues are essential for getting the best accuracy and performance from language models. From sophisticated question-answering systems to sophisticated mathematical reasoning algorithms, well-designed prompts enable LLMs to produce ground-breaking outcomes in academic and industrial applications.

However, prompt engineering is more than just creating concise prompts. It is a comprehensive subject that comprises a vast collection of skills and approaches essential for establishing solid LLMs and supporting seamless interactions. 

This entails incorporating safety precautions, applying domain-specific expertise, and maximizing LLM performance with customized tools. Each aspect of prompt engineering is essential to guarantee the dependability and efficacy of LLMs in practical situations.

Given the growing interest in utilizing LLMs to their full capacity, a thorough, technically sophisticated manual on prompt engineering is desperately needed. In the following parts, we will examine the basic ideas of prompting and more complex methods for creating prompts that produce the best results.

Potential Unlocking with Properly Crafted Prompts

Carefully constructed cues are essential to the efficacy of large language models. These cues are critical for getting the best accuracy and performance from language models. LLMs can perform exceptionally well on various tasks by carefully crafting prompts, including intricate question-answering systems and arithmetic reasoning algorithms. This will transform research and industry applications.

The topic of prompt engineering is multifaceted and involves a range of abilities necessary for creating solid LLMs. This entails combining safety precautions, domain-specific expertise, and specially designed tools to improve performance. These factors are essential. They are crucial to the dependability and efficiency of LLMs in Prompt Engineering.

Prompt engineering entails creating and improving particular text prompts to direct transformer-based language models. This procedure involves evaluating task requirements and data, improving prompts, and adjusting language models in response to these prompts. Prompt engineering is used by AI experts, such as researchers and data scientists, to enhance LLM performance in applications such as conversational AI, e-commerce, and healthcare.

Prompt Engineering Principles

In their ChatGPT Prompt Engineering for Developers course, Isa Fulford and Andrew Ng emphasize two crucial elements of prompt engineering:

Creation of Clear Instructions: Prompts must contain detailed instructions for precise and pertinent model output.

Providing Processing Time: By including pauses or "thinking time" in prompts, the model can process information more effectively, producing better results.

The Methodical Approach to Prompt Engineering

Understanding the Issue: The first step is thoroughly examining the current task. It's critical to comprehend the information required for question-answering jobs and whether context or reasoning is needed. This stage makes it easier to foresee difficulties and modify suggestions appropriately.

Creating the First Prompt: A well-structured initial prompt entails giving the language model precise, concise, and unambiguous instructions. Adding few-shot samples of desired inputs and outputs might sometimes improve the model's comprehension.

Analyzing the Model's Response: Determining whether the model's output aligns with the stated objective is essential. Finding disparities directs the refinement process and aids in understanding constraints.

Iterating and Improving the Prompt: Improving the prompt entails tactics like clarifying instructions, adding more examples, or changing the question's structure. The goal of this iterative procedure is to increase the prompt's efficacy.

Testing the Prompt on Different Models: Understanding the prompt's generalizability and resilience requires testing it on various models. The architecture, size, and training data of these models may affect how they react.

Scaling the Prompt: Scaling entails increasing the usefulness of a successful prompt following testing and improvement. This can involve making variations for similar jobs or automating the creation of prompts.

Building the Future: Using Prompt Engineering Education to Navigate AI Frontiers

Navigating the complex field of prompt engineering requires education, mainly through specialized courses like the prompt engineering course. This course covers topics like creating strategic text prompts, incorporating safety measures, and maximizing the performance of Large Language Models (LLMs) to give participants the skills and techniques essential for successful prompt engineering. Pursuing an AI prompt engineer certification can benefit aspiring artificial intelligence workers. 

In addition to confirming proficiency in rapid engineering, AI expert certification attests to a person's capacity to utilize LLMs in various contexts, consistent with the revolutionary results discussed in the previous article. 

AI certifications are essential for keeping up with the quickly changing AI ecosystem in the larger context of upskilling. These credentials guarantee that people have the skills and knowledge to handle challenging AI tasks and significantly contribute to creating reliable language models. 

Given the growing worries about cybersecurity, a cybersecurity certification is also necessary for people working on AI-related projects. This ensures that AI applications and prompt engineering follow strict security protocols. 

It is essential to pursue prompt engineering and AI certifications to start the process of becoming a well-rounded AI expert. By producing qualified people who can handle the difficulties and realize the full potential of AI technologies, these certificates improve job prospects and significantly contribute to the advancement of artificial intelligence.

Language Model Learning's Future

Language model learning is constantly changing, and prompt engineering is crucial. Well-designed prompts are becoming increasingly important as AI technologies, such as voice assistants and chatbots, become more integrated into daily life. Prompt engineering is more than just creating inquiries; it also entails comprehending context, intent, and intended results.

Today's investments in prompt engineering will shape the future of AI-enabled developments. Prompt engineering will steer LLMs as they grow into fields like data analysis, automated content creation, and healthcare diagnostics. Our world is becoming increasingly intertwined with AI thanks to today's talented and quick developers who set the foundation for future developments in LLM and unexpected AI technologies.

The Blockchain Council offers AI developer certification courses for individuals wanting to participate in this revolutionary adventure. 

The Blockchain Council is a reputable group of subject matter experts and enthusiasts committed to advancing blockchain research and development, creating a thorough understanding of use cases, products, and information for a better society. In the rapidly changing world of technology, the Blockchain Council is crucial in offering professionals who want to improve their knowledge of AI development the necessary training and certification courses.