hwchase17/langchain: ⚡ Building applications with LLMs through composability ⚡
langchain/wiki_prompt.py at master · hwchase17/langchain · GitHub
Welcome to LangChain — 🦜🔗 LangChain 0.0.132
[2302.07842] Augmented Language Models: a Survey
[2302.04761] Toolformer: Language Models Can Teach Themselves to Use Tools
ACT-1: Transformer for Actions
Could you train a ChatGPT-beating model for $85,000 and run it in a browser?
A simple Python implementation of the ReAct pattern for LLMs | Simon Willison’s TILs
Run Python code in a WebAssembly sandbox | Simon Willison’s TILs
A simple Python wrapper for the ChatGPT API | Simon Willison’s TILs
ReAct: Synergizing Reasoning and Acting in Language Models
The surprising ease and effectiveness of AI in a loop (Interconnected)
Fuzzy API composition: querying NBA stats with GPT-3 + Statmuse + Langchain
OODA loop - Wikipedia
natbot/natbot.py at main · nat/natbot · GitHub
openai/chatgpt-retrieval-plugin: The ChatGPT Retrieval Plugin lets you easily search and find personal or work documents by asking questions in everyday language.
homanp/langchain-ui: 🧬 The open source chat-ai toolkit
nat/natbot: Drive a browser with GPT-3
m1guelpf/browser-agent: A browser AI agent, using GPT-4
refcell/run-wild: Augment GPT-4 Environment Access
(1) Yohei on Twitter: “So this “AI founder” experiment is kind of blowing my mind. I set an objective, and say “your first task is to create your next task”. It then continues to generate and reprioritize its own task list as it executes them one by one. Only hooked up to search now. Kinda scary.” / Twitter
(1) Yohei on Twitter: “🔥1/8 Introducing ”🤖 Task-driven Autonomous Agent” An agent that leverages @openai’s GPT-4, @pinecone vector search, and @LangChainAI framework to autonomously create and perform tasks based on an objective. “Paper”: https://t.co/MT5WxB0Ebo [More 🔽] https://t.co/9BmbuJBAjl” / Twitter
Task-driven Autonomous Agent Utilizing GPT-4, Pinecone, and LangChain for Diverse Applications – Yohei Nakajima
(1) Yohei (@yoheinakajima) / Twitter
[WIP] TypeScript BabyAGI 🚀✨ by yourbuddyconner · Pull Request #5 · Intuitive-Systems/react-agent-ts
Torantulino/Auto-GPT: An experimental open-source attempt to make GPT-4 fully autonomous.
KaneCohen/Auto-GPT at dev
microsoft/JARVIS: JARVIS, a system to connect LLMs with ML community
[2303.16434] TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs
[2303.17580] HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace
[2303.17071] DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents
[2303.17491] Language Models can Solve Computer Tasks
Can LLMs Critique and Iterate on Their Own Outputs? | Eric Jang
pHaeusler/micro-agent: A tiny implementation of an autonomous agent powered by LLMs (OpenAI GPT-4)
Ozennefr/GPPPT: A simple one file python script that executes AI processes defined in YML.
PrefectHQ/marvin: 🤖🪄 A batteries-included library for building AI-powered software
Welcome to Marvin - Marvin
Configure OpenAI - Marvin
Torantulino/AI-Functions: AI-Powered Function Magic: Never code again with GPT models!
(1) Luke ⚡ (@theluk246) / Twitter
langchain-ChatGLM/README_en.md at master · imClumsyPanda/langchain-ChatGLM · GitHub
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ibiscp/LLM-IMDB: Proof of concept app using LangChain and LLMs to retrieve information from graphs, built with the IMDB dataset
imartinez/privateGPT: Interact privately with your documents using the power of GPT, 100% privately, no data leaks
uilicious/english-compiler: POC AI based Compiler, for converting english based markdown specs, into functional code
smol-ai/developer: with 100k context windows on the way, it’s now feasible to for every dev to have their own smol developer
irgolic/AutoPR: Fix issues with AI-generated pull requests, powered by ChatGPT
Hannibal046/Awesome-LLM: Awesome-LLM: a curated list of Large Language Model
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microsoft/guidance: A guidance language for controlling large language models.
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