Clive Hutcheon’s Post

Here is an introductory Prompt Engineering Guide from the makers of ChatGPT https://t.co/xhNBs9niQx

OpenAI recently released a prompt engineering guide with 6 specific strategies to help you unlock ChatGPT’s potential

Checkout the 'real' prompt engineering guide, per OpenAI! This is quite different than other material - this is a descriptive guideline of how ChatGPT is supposed to work. It's like the manual that comes with your car. Before this, prompt engineering guides were more of a game of inference based on people playing with a black box. https://lnkd.in/gzdVTeha

The concepts used in RAG are the same you should use to do prompt engineering and make better ChatGPT evals. When you add context to your prompts, you are doing the retrieval manually instead of automatically querying a vector database for documents. This concept can greatly enhance your usage of ChatGPT and save you a lot of time. This is the 2nd of 5 follow-ups to a previous post on RAG + Vision tasks. https://lnkd.in/ggJjaDEk In this OpenAI guide on Prompt Engineering (https://lnkd.in/g49ppNw6), the 2nd strategy (of 6) is to "Provide reference text". You are doing the manual work to provide a meaningful context; we can think of this as "fine-tuning your model" with new data. Here is an example. USER <insert articles, each delimited by triple quotes> Question: <insert question here>

Link to official article : https://t.co/xhNBs9niQx Find below the final roadmap to Prompt Engineering with Chatgpt. #dataengineer #datascientist #dataanalyst

OpenAI just released a prompt engineering guide to improve your results with ChatGPT. Worth a read! https://lnkd.in/gWWS9nAA #generatieveai #artificialntelligence #chatgptprompts

https://lnkd.in/gVdnkinw prompt engineering guide out of OpenAI, a good read no matter where you are with your knowledge of ChatGPT or LLMs more generally

<rant> So far, those chaps selling 10,000 or 20,000 ChatGPT prompts have 99.9% terrible prompts! Someone showed me an example of them: "How do I create a scalable business?" "Write me an article about (content) in 1500 words." Really?!?!? (kill me already) Just proof that quantity is not enough as a value proposition. Check out the absolutely free OpenAi ChatGPT prompt page for better prompt engineering, stop paying for this crap load of... crap lol. </rant> https://lnkd.in/ggbQVsTr

OpenAI have just released a really good and comprehensive guide on prompt engineering: https://lnkd.in/eKt64KUi. While I think guides like this are a useful way to improve your prompting once you're already familiar with tools such as ChatGPT, I wouldn't recommend it for anyone just starting out. My main advice for anyone new is just to play around and figure what works and doesn't for you (i.e., f**k around and find out).

A must read article for anyone who is using ChatGPT and want to get better results. It covers 6 strategies for getting better results Write clear instructions in summary: 1. Write clear instructions 2. Provide reference text 3. Split complex tasks into simpler subtasks 4. Give the model time to think 5. Use external tools 6. Test changes systematically Happy prompting everyone 🤖