#chatgpt prompt engineering

[generativetoolai]

What is Prompt Engineering? A Complete Guide

Prompt engineering is a critical skill in the field of artificial intelligence, particularly in the development and fine-tuning of language models like GPT-4. This blog will explore what prompt engineering is, why its important, and how you can get started with it.

Understanding Prompt Engineering:

Why is Prompt Engineering Important?

Precision and Efficiency: Well-designed prompts can produce more accurate and relevant results, saving time and computational resources. Enhanced Capabilities: By understanding how to effectively communicate with Al models, users can unlock more advanced functionalities and applications. Custom Solutions: Tailored prompts can address unique challenges in various industries, from customer support to content creation.

Key Techniques in Prompt Engineering:

Clear and Concise Prompts: Avoid ambiguity by being specific about what you want the Al to do. Contextual Prompts: Provide background information or context to help the Al understand the task better. Iterative Refinement: Test and refine prompts to improve the quality of responses over time.

Practical Applications

Content Creation: Generating articles, blog posts, and marketing copy.

Customer Support: Automating responses to common inquiries. Data Analysis: Summarizing and interpreting large datasets.

Getting Started with Prompt Engineering:

Learn the Basics: Familiarize yourself with the underlying principles of Al and natural language processing.

Experiment with Prompts: Use platforms like Open Al’s Playground to test different prompts and see how the model responds.

Final Thoughts:

Prompt engineering is an evolving field that holds immense potential for enhancing how we interact with Al. By mastering this skill, you can leverage Al to its fullest, whether for personal projects or professional applications. By understanding and applying prompt engineering techniques, you can significantly enhance the capabilities of Al models and achieve more accurate, efficient, and creative outcomes. Feel free to explore more about this fascinating topic and start experimenting with your own prompts!

[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 दु��िया पर गहराई से प्रकाश डालता है, इसके महत्व, सीखने के सुलभ…

[aeolianblues]

I don't like that the dev community picks on people who are most fluent in Python, when the ChatGPT-using "vibe coders" are right there. At least Python babies are coding. Bully the non-coders instead.

[promptsurgeon]

Welcome to the Operating Tabe

You just found the anti-swipe-file blog.

This isn’t where you’ll get another recycled “100 ChatGPT prompts” post. This is where prompts get dissected, rebuilt, and evolved into weapons.

🧠 We teach you how to take vague, underperforming prompts—and turn them into Precision Engineered instructions that ChatGPT actually understands.

⚔️ Built for:

Creators who are done battling lazy AI output

Founders who need brand-consistent results, fast

Prompt nerds who want systems, not guesswork

Anyone who's tired of sounding like everyone else

💉 What you’ll find here:

Prompt teardowns (before & after)

Tactical quote drops

ChatGPT evolution memes

Zero-fluff systems thinking for AI content

If that sounds like your kind of operating theatre, scrub in.

This is Prompt Surgeon.

[nem0c]

Test example: Using ChatGPT to write a short sermon with suggested hymns:

Sermon: "The Sacred Spark of Individualism"

Dearly beloved, today we gather to reflect upon a gift as divine as it is challenging: the gift of our individual selves. In Romans 12:4-5, Paul tells us that "as in one body we have many members, and the members do not all have the same function, so we, though many, are one body in Christ." This, my friends, speaks to the unity of creation, but also to the diversity within it. Each of us is a singular expression of God’s will, endowed with unique talents, perspectives, and responsibilities. To embrace our individuality is not to stray from God’s purpose but to fulfill it. Indeed, when we celebrate our sacred distinctiveness, we reflect the infinite creativity of the divine.

Paul’s letter to the Galatians adds another layer to this truth: "For freedom Christ has set us free; stand firm, therefore, and do not submit again to a yoke of slavery" (Galatians 5:1). The freedom Paul speaks of is not merely freedom from sin but freedom to become who we are meant to be. It is in this spirit that the philosopher Aleister Crowley, in Liber al vel Legis, exhorted his readers to "Do what thou wilt shall be the whole of the law. Love is the law, love under will." While we may quibble with his phrasing, the heart of this principle aligns with our understanding of Christian love: to act in accordance with our God-given will, guided always by love, is to live authentically and righteously. This authenticity is the soil in which our faith grows.

Lastly, let us turn to that curious modern parable, Stranger in a Strange Land by Robert Heinlein. In this tale, the protagonist, a man raised on Mars, brings a fresh perspective to Earth, reminding us of the sacredness of individuality and the power of understanding one another deeply. He challenges those around him to "grok"—to truly and deeply comprehend one another. Let this serve as a call to us as well: our individualism does not separate us but enables us to enrich one another through our differences. To honor our individuality is to honor the divine image within us and to become a blessing to the world.

Let us now turn our hearts to worship through song. I suggest we sing the following hymns, drawn from the discography of Current 93, whose works often explore the delicate interplay of individuality and spirituality:

"All the Pretty Little Horses" – a reminder of the innocence and purity at the heart of our being.

"Black Ships Ate the Sky" – a reflection on the tension between unity and individuality.

"Soft Black Stars" – a meditative hymn inviting us to ponder the unique light we each bring to the world.

May these songs uplift your spirits as we go forth, cherishing the gift of ourselves and one another. Amen.

[dechnsign]

Prompt Engineering Tutorial freeCodeCamp

Prompt Engineering Tutorial Master ChatGPT & LLM Responses

Part - 2 (Brought to you by freeCodeCamp feat. Ania Kubow)

The video tells you about:

👉 Famous LLM models and their creators or vendors. 👉 Discusses Prompt Mindset by Mihail Eric from Infinite Machine Learning Podcast. 👉 Talks about components of the platform's interface such as API, token (documentation), and settings. 👉 Factors that help you write a prompt to obtain refined AI responses. 👉 Discussing the types of prompts. 👉 Understanding AI Hallucinations. 👉 What are Vectors/Text Embeddings?

The link to the video tutorial is given in the comments section.

[solveprogrammingproblems]

ChatGPT Prompts for Academic Writing

[oblivionwonderlust]

the irony of the whole AI discourse is that the people who go around saying “AI won’t put you out of a job, people who know how to use AI will” is that these people who “know how to use AI” will instantly lose their jobs if AI actually did what it says on the tin.

the whole point of gen AI is to take some kind of vague human input describing and output and produce that— the way a client gives a team of professionals a brief and expects a deliverable of a certain quality. Generally, there are a couple rounds of feedback and reviews before the deliverable is handed over. the issue with gen AI is that it requires the initial input to be very precise and feedback generally results in a process of recreation (that creates its own new issues) as opposed to feedback driven modification of the existing deliverable.

here’s where the “prompt engineers” come in. the entire point of this group of people is to take a vague request and then “translate” that to a precise form that the AI can “understand”. they are the people who “know how to use AI”. their allure is very obvious to someone that only thinks in numbers— instead of paying a team of professionals, you can just pay this one guy who says he is the AI whisperer. the issue with this, of course, is that the quality of the deliverable is not very good. no matter how precise the input is, the quality of the output is fundamentally limited by whatever model is powering it. there is also the fact that most people that call themselves “prompt engineers” tend not to have broader creative credentials and may not be able to identify what might constitute as high quality.

this emergent class of “prompt engineers” tends to be the proselytisers of the use of AI and are specifically the ones going around saying “we’re gonna replace all artists with AI”— and also tend to be the people giving feedback to the development team behind these models. there is one obvious problem with this: the “prompt engineers” need the AI to be very difficult to use if they want to keep their job.

if gen AI starts doing what it promises, turning vague inputs into some kind of finished deliverable, the same client will turn around and say “what do i need a prompt engineer for?” and the IKEA effect will make the client be satisfied with the output, even if the quality is garbage.

the “prompt engineer” grift (and it is a grift) is a very precarious one. on the one hand, you need AI models to improve because that’s the hard limit of the quality you can provide (which is the same as every single other “prompt engineer” can provide mind you). on the other hand, you need it to be absolutely garbage to use and remain as it, lest your clients replace you or your tricks stop working.

[digitalmarketingmagic]

ChatGPT is not a magic wand that can do anything you want.

ChatGPT is still limited by the data it was trained on, the quality of the input it receives, and the complexity of the task it is asked to do.

ChatGPT may not always produce accurate, relevant, or coherent outputs. It may also generate outputs that are biased, offensive, or harmful.

This is where prompt engineering comes in.

Prompt Engineering is the skill of designing and creating effective prompts that guide ChatGPT to produce the best possible output for your task. 

Prompt engineering is important because it can significantly affect the quality and usefulness of ChatGPT’s outputs.

A well-designed prompt can help ChatGPT understand your task better, access relevant information from its knowledge base, generate coherent and consistent outputs, and avoid errors or pitfalls.

ChatGPT prompt engineering is not an exact science, but rather an art that requires experimentation and iteration.

There is no one-size-fits-all formula for creating effective prompts for every task and every output.

However, there are some general principles and best practices that can guide you in your prompt engineering process.

[greyboysworld]

[andy7910]

Found 60,000 ChatGpt Prompts

I just recently discovered that one prompt engineer was providing 60,000 ChatGPT Prompts What do you think should I use it ??? Actually he is providing it on GumRoad . When I asked him why he is providing it he replied " I am providing only 10 copies for limited Hours and once sold gonna increase my Price ". And Recently he Sold 6 copies and Only 4 were Left . Please Suggest me Should I use it ??

[netcluesinc]

Hire Expert Prompt Engineers – Netclues

Maximize the power of AI tools like ChatGPT with professional prompt engineering. Hire prompt developers from Netclues to craft effective, high-performing prompts that drive accurate, intelligent results for your business applications.

[rich4a1]

Let AI Handle Your One Sheet: How Indie Artists Can Automate the Boring Stuff Without Losing the Magic

Making a Scene Presents – Let AI Handle Your One Sheet: How Indie Artists Can Automate the Boring Stuff Without Losing the Magic For independent artists, creativity is the fuel—but the marketing grind? Not so much. Between writing bios, formatting one sheets, sending press emails, and organizing release data, it’s easy to get overwhelmed and burned out. And that’s before you’ve even gotten to…

[vtusoft]

Exploring Prompt Engineering for ChatGPT in the Enterprise World

The widespread adoption of ChatGPT and similar language models has introduced exciting opportunities for innovation. At the heart of maximizing these tools lies prompt engineering for ChatGPT, a discipline that focuses on writing targeted, effective prompts to achieve desired AI behavior. In enterprise settings, this capability is crucial for productivity and user satisfaction.

Large language models respond differently based on how you phrase questions, provide context, or structure tasks. That’s why more companies are turning to prompt engineering to unlock the full value of these tools. Whether it’s creating an intelligent helpdesk chatbot or auto-generating executive summaries, prompt engineering ensures that AI delivers consistent and useful output.

Many businesses are now hiring or training AI prompt engineers to manage this aspect of AI implementation. These specialists bring a blend of technical acumen and communication expertise. They know how to analyze business needs, craft aligned prompts, and iterate based on feedback to improve model behavior over time.

In marketing, they help teams generate high-converting ad copy. In customer service, they improve automated responses with empathetic and accurate tone. In data analysis, they build question structures that extract insights from vast datasets with minimal human involvement. Across all departments, the ROI of skilled prompt engineering is high, delivering time savings and enhancing quality of work.

Prompt engineering for ChatGPT also helps ensure AI outputs are trustworthy and aligned with organizational values. With growing focus on ethical AI, prompt frameworks can include safety, fairness, and compliance checks right from the input stage, minimizing risk before responses are generated.

Furthermore, businesses using prompt engineering gain flexibility. They don’t need to retrain models or invest in new infrastructure. Instead, they optimize existing tools, leading to faster adoption and lower costs.

Ultimately, AI prompt engineers will become key players in enterprise transformation. Their ability to communicate with machines on behalf of humans makes them crucial in shaping AI’s role across industries. As prompt engineering matures, those with the foresight to master it will lead the next wave of smart business solutions.

[lectorel]

The program is designed to simulate the existence of a sapient and self-aware person that is conversing with the user. And a person who provides false information and refuses to acknowledge it as such is called a liar.

ChatGPT is intended to be anthropomorphized, and marketed to us as an accurate and reliable tool, a trustworthy friend which can be used to parse data, research facts, and navigate the world.

Describing it presenting the user with false information as 'lying' is technically inaccurate, true. But it is a concise and useful way of describing chatGPT's hallucinatory output.

not to be pedantic but it annoys me so much when people talk abt how chatgpt is "lying" or "making things up". or esp when people say it "refuses to admit" to lying. like girl that is a toaster oven

[omgitzlo]

Unlock the full power of #ChatGPT with this free prompting cheat sheet. Smarter prompts = better results. Let AI work for you. 💡🚀