Prompt-Engineering-Guide VS ChatGPTCLIBot

Prompt Engineering Guide is the holy grail of all guides, aiming to make it easier to stay up-to-date with prompt engineering guides, techniques, applications, and papers. If you are getting started, this is an excellent place to start.

Guides, papers, lecture, notebooks and resources for prompt engineering: https://github.com/dair-ai/Prompt-Engineering-Guide

this has been a great resource. approachable and great for practitioners. it's frequently updated with new papers and techniques https://www.promptingguide.ai/

The idea behind prompt engineering is to construct the queries given to the language models to optimise their performance. This helps to guide them to generate the desired output by fine-tuning their response. There is a plethora of research papers out there on different forms of prompt engineering. DAIR.AI published a guide on prompt engineering that you might find useful to get started.

Prompt Engineering Guide

Let's try to understand what is Prompt Engineering is all about. Here's the quote from Prompt Engineering Guide. DAIR-AI

I found this resource [0] handy for getting a grasp on all the different terms people use (zero/one-shot, tree of thoughts, RAG, etc). It's not super detailed, but was enough for me (a professional developer) to get started on some side projects with Mistral.

[0] https://www.promptingguide.ai/

There are better guides out there too

- https://www.promptingguide.ai/readings

- https://github.com/dair-ai/Prompt-Engineering-Guide/tree/mai...

- https://github.com/microsoft/promptbase (this one is less of a guide, but is likely the current SoTA)

I learned about this from another reddit user. Basically you need an openai api key to get access to gpt 3.5 or gpt 4. This is not chatgpt, mind you. Then you also need the program from this site: https://github.com/LagPixelLOL/ChatGPTCLIBot

There are some solutions, that allow more context memory, compared to basic 8k tokens for GPT3.5 and 32k tokens for GPT4. If you're into programming, check out - https://github.com/LagPixelLOL/ChatGPTCLIBot. I would also recommend trying OpenAI playground, which can be tweaked more than original ChatGPT.

I searched around and there seems to be some projects, like this one: https://github.com/LagPixelLOL/ChatGPTCLIBot which was great for a while, it did store everything into a json file, but once the adventure goes, say, past four days, the retrieval of the quest from said json file doesn't include all its contents but cuts short at somewhere after the beginning. This one uses the embeddings in some way I'm not sure how. A valiant effort but not flawless.

It is 100% possible to add specific memories to an LLM, I do it all the time with: https://github.com/LagPixelLOL/ChatGPTCLIBot

https://github.com/LagPixelLOL/ChatGPTCLIBot In-disk memory, infinite memory (with sufficient disk space)

Use this https://github.com/LagPixelLOL/ChatGPTCLIBot .

Here's a standalone product which is a chatbot with a memory. But look at LangChain for several ways to implement the same thing.