AgentGPT VS Prompt-Engineering-Guide

There's a few tools out there like AgentGPT (https://github.com/reworkd/AgentGPT, although it's a more conversational interface), and (https://github.com/logspace-ai/langflow) and others. I think most developers definitely prefer a code-first interface though like a library but haven't found one that's great yet. We've used them in the past but didn't have the best experience so would love to hear if anyone has worked with a library they found really flexible.

17. AgentGPT

I saw a post earlier this week saying that they feel the outputs from ChatGPT have been declining, and a lot of people agreed. There are a good amount of quality AI chat alternatives out there besides ChatGPT and some even offer GPT-4 for free! Here's a list of alternative chatbots to try out (I've tried all of these not some bs list): Perplexity: "The first conversational search engine" (GPT-3.5 Free / GPT-4 Paid $20 a month) Bing: Microsoft's Chatbot with multimodal capabilities. (GPT-4 Free) Poe: Quora's AI app with multiple models (GPT-3.5 Free / GPT-4 free with 'limited access') AgentGPT: "Autonomous AI agent" Give one prompt and it will run continuously until finished. (GPT 3.5 Free / GPT-4 API access required) sign up for GPT-4 API waitlist here HuggingFace: Largest open source AI community find thousands of different open source projects (Free site) Ora: Access community LLM's or build your own (GPT-3.5 Free / GPT-4 Free) Direct link to free GPT-4 Inflection Pi: A personal AI chatbot (not meant for research purposes) (Free site) ... unsure what model I have seen conflicting information I believe it's GPT-3.5 Nat.dev: Use GPT-4 in playground and compare to other models (GPT-4 $5 credit fee) Merlin: Access GPT-4 chatbot in any browser (GPT-4 limited free plan / GPT-4 unlimited starting at $19 a month) These are all credible chatbots that have been running for months the majority do require email signups however. Hope this helps! **P.S.** If this was helpful and you want to keep ahead in the AI game, consider joining my free daily newsletter! Sent out every weekday at 9 a.m. sharp, it will keep you up-to-date on the ins and outs of generative AI technology, all over your morning cup of ☕️.

AgentGPT: "Autonomous AI agent" Give one prompt and it will run continuously until finished. (GPT 3.5 Free / GPT-4 API access required) sign up for GPT-4 API waitlist here

AgentGPT: A tool for generating text using GPT-3.

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)

- https://www.promptingguide.ai