Andrei Pogrebnya’s Post

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).

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

OpenAI just released their guide to effective Prompt Engineering, all of it backs up things generally known - longer and explicit prompts, starting with a specific persona have always been my go-to demonstration to those more skeptical of the output of chatGPT: https://lnkd.in/e-gqEZdD

I’ve been working extensively with ChatGPT-4 and ChatGPT-4o over the past few months, developing complex prompts to analyse contracts and automate the drafting of mitigations and controls for identified risks. To support those beginning their journey with prompt engineering, I’ve decided to start sharing some of the resources I have found to be helpful. Today’s resource might seem a bit daunting at first, but it’s incredibly instructive if you take the time to work through it. Check out this guide on prompt engineering by OpenAI: https://lnkd.in/gi_AJFJk

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

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

Level up on ChatGPT with OpenAI's prompting engineering guide OpenAI has just released a comprehensive guide to enhancing your ChatGPT experiences with six effective strategies (and some new tricks). Explore the guide to elevate your prompts, boost creativity, and extract more meaningful insights from ChatGPT. Unleash the power of this versatile language model and elevate ones AI-powered tasks! https://lnkd.in/e9B_uC-s

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>

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

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