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Node.js client for the official ChatGPT API.
https://github.com/transitive-bullshit/chatgpt-api
https://github.com/acheong08/ChatGPT
A collection of awesome GPT4 prompts.
https://github.com/ora-sh/Awesome-GPT4-Prompts
https://github.com/f/awesome-chatgpt-prompts
https://github.com/ayaka14732/ChatGPTAPIFree
This package is a Node.js wrapper around Bing Chat by Microsoft. TS batteries included.
https://github.com/transitive-bullshit/bing-chat
Danswer allows you to ask natural language questions against internal documents and get back reliable answers backed by quotes and references from the source material so that you can always trust what you get back. You can connect to a number of common tools such as Slack, GitHub, Confluence, amongst others.
https://github.com/danswer-ai/danswer
DocsGPT is a cutting-edge open-source solution that streamlines the process of finding information in project documentation. With its integration of the powerful GPT models, developers can easily ask questions about a project and receive accurate answers.
https://github.com/arc53/DocsGPT
Open Interpreter lets LLMs run code (Python, Javascript, Shell, and more) locally. You can chat with Open Interpreter through a ChatGPT-like interface in your terminal by running $ interpreter after installing.
https://github.com/KillianLucas/open-interpreter
ViLT-GPT is an innovative application that gives the conversational AI ChatGPT the ability to "see". By integrating OpenAI's Language Models (LLM) and LangChain with Vision-and-Language models, this app can answer queries based on the content of images. Now, you can interact with your images, ask questions and get informative responses.
https://github.com/CodeAlchemyAI/ViLT-GPT
🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo
https://github.com/geekan/MetaGPT
A 15-chapter novel can cost as little as $4 to produce and is written in just a few minutes.
https://github.com/mshumer/gpt-author
GPT Engineer is made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based on a prompt.
https://github.com/AntonOsika/gpt-engineer
Turn your natural language descriptions into fully functional, deployed AI-powered microservices with a single command! Your imagination is the limit!
https://github.com/jina-ai/gptdeploy
Enhancing Vision-language Understanding with Advanced Large Language Models
https://github.com/Vision-CAIR/MiniGPT-4
Communicative Agents for “Mind” Exploration of Large Scale Language Model Society. https://github.com/lightaime/camel
Taxy uses GPT-4 to control your browser and perform repetitive actions on your behalf. Currently it allows you to define ad-hoc instructions. In the future it will also support saved and scheduled workflows.
https://github.com/TaxyAI/browser-extension
This project generates new designs of your room with AI.
https://github.com/Nutlope/roomGPT
https://github.com/ztjhz/ChatGPTFreeApp
Visual ChatGPT connects ChatGPT and a series of Visual Foundation Models to enable sending and receiving images during chatting.
https://github.com/microsoft/visual-chatgpt
https://github.com/mukulpatnaik/researchgpt
This is a proof-of-concept implementation of a ChatGPT-powered shader generator for Unity.
https://github.com/keijiro/AIShader
It is an unofficial project intended for personal learning and research purposes only. During the time that the ChatGPT desktop application was open-sourced.
https://github.com/lencx/ChatGPT
Go CLI to fuels a Telegram bot that lets you interact with ChatGPT, a large language model trained by OpenAI.
https://github.com/m1guelpf/chatgpt-telegram
ChatGPT Prompt Genius, a free, open-source browser extension that helps you 🔍 discover, share, import, and use the best prompts for ChatGPT. You can also 💾 save your chat history locally so you can easily review past conversations and refer to them at a later time.
https://github.com/benf2004/ChatGPT-Prompt-Genius
ChatHub is an all-in-one chatbot client.
https://github.com/chathub-dev/chathub
This browser extension adds web access capability to ChatGPT. Get much more relevant and up-to-date answers from the chatbot!
https://github.com/qunash/chatgpt-advanced
ChatGPT powered Rust proc macro that generates code at compile-time.
https://github.com/retrage/gpt-macro
A very basic, very brittle proof of concept for an AI assistant for geospatial search
https://github.com/earth-genome/ChatGeoPT
An experimental open-source attempt to make GPT-4 fully autonomous.
https://github.com/Torantulino/Auto-GPT
An unofficial collection of Plugins for ChatGPT, in any programming language! Note: This is not an official OpenAI or ChatGPT related repository.
https://github.com/logankilpatrick/ChatGPT-Plugins-Collection
This Python script is an example of an AI-powered task management system. The system uses OpenAI and Pinecone APIs to create, prioritize, and execute tasks. The main idea behind this system is that it creates tasks based on the result of previous tasks and a predefined objective. The script then uses OpenAI's natural language processing (NLP) capabilities to create new tasks based on the objective, and Pinecone to store and retrieve task results for context. This is a pared-down version of the original Task-Driven Autonomous Agent.
https://github.com/yoheinakajima/babyagi
https://github.com/dory111111/babyagi-streamlit
https://github.com/dair-ai/Prompt-Engineering-Guide
https://github.com/0xk1h0/ChatGPT_DAN
https://github.com/promptslab/Awesome-Prompt-Engineering
https://github.com/yokoffing/ChatGPT-Prompts
The ChatGPT model is a large language model trained by OpenAI that is capable of generating human-like text. By providing it with a prompt, it can generate responses that continue the conversation or expand on the given prompt.
https://github.com/travistangvh/ChatGPT-Data-Science-Prompts
https://github.com/yokoffing/ChatGPT-Prompts#chatgpt-prompts
This website is a free, open-source guide on prompt engineering.
https://github.com/trigaten/Learn_Prompting
DeepSeek-V2 delivers impressive results on current major large model leaderboards.
https://www.deepseek.com/
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source chat models on common industry benchmarks. Further, in developing these models, we took great care to optimize helpfulness and safety.
https://llama.meta.com/llama3/
Code Llama is a code-specialized version of Llama 2 that was created by further training Llama 2 on its code-specific datasets, sampling more data from that same dataset for longer.
https://huggingface.co/codellama
This model is based on mistralAI, with apache-2.0 license, so it is suitable for commercial or non-commercial use.
New in 2.2 is conversation and empathy. With an infusion of curated Samantha DNA, Dolphin can now give you personal advice and will care about your feelings, and with extra training in long multi-turn conversation.
https://huggingface.co/cognitivecomputations/dolphin-2.2.1-mistral-7b
This model is a fine-tuned model based on mistralai/Mistral-7B-v0.1 on the open source dataset Open-Orca/SlimOrca. Then we align it with DPO algorithm.
https://huggingface.co/Intel/neural-chat-7b-v3-1
Mistral 7B v0.1 is Mistral AI's first Large Language Model (LLM). A Large Language Model (LLM) is an artificial intelligence algorithm trained on massive amounts of data that is able to generate coherent text and perform various natural language processing tasks.
https://docs.mistral.ai/
Visual instruction tuning towards large language and vision models with GPT-4 level capabilities.
https://github.com/haotian-liu/LLaVA
https://huggingface.co/stabilityai/StableBeluga2
The next generation of our open-source large language model
https://ai.meta.com/llama/
InternLM has open-sourced a 7 billion parameter base model, a chat model tailored for practical scenarios and the training system.
https://github.com/InternLM/InternLM
Gorilla enables LLMs to use tools by invoking APIs. Given a natural language query, Gorilla comes up with the semantically- and syntactically- correct API to invoke.
https://github.com/ShishirPatil/gorilla
Technology Innovation Institute has open-sourced Falcon LLM for research and commercial utilization.
https://falconllm.tii.ae/
https://www.mosaicml.com/blog/mpt-7b
This repository contains Stability AI's ongoing development of the StableLM series of language models and will be continuously updated with new checkpoints.
https://github.com/stability-AI/stableLM/
LLaMA is a LLM from Meta.
https://github.com/facebookresearch/llama
This is the repo for the Stanford Alpaca project, which aims to build and share an instruction-following LLaMA model.
https://github.com/tatsu-lab/stanford_alpaca
An Open Bilingual Dialogue Language Model
https://github.com/THUDM/ChatGLM-6B
https://github.com/mlfoundations/open_flamingo
https://guanaco-model.github.io/
https://github.com/tloen/alpaca-lora
https://github.com/NVIDIA/NeMo
https://github.com/BlinkDL/RWKV-LM
Databricks’ Dolly is an instruction-following large language model trained on the Databricks machine learning platform that is licensed for commercial use.
https://github.com/databrickslabs/dolly
A lightweight library to access Google Bard.
https://github.com/EvanZhouDev/bard-ai
Ship RAG based LLM web apps in seconds.
https://github.com/safevideo/autollm
An Open-source Framework for Autonomous Language Agents
https://github.com/aiwaves-cn/agents
kani (カニ) is a lightweight and highly hackable framework for chat-based language models with tool usage/function calling.
https://github.com/zhudotexe/kani
Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge.
https://github.com/hwchase17/langchain
The open source engine for fine-tuning and serving large language models.
https://github.com/scaleapi/llm-engine
TypeScript-first library for building AI apps, chatbots, and agents.
https://github.com/lgrammel/ai-utils.js
Building applications with LLMs through composability
https://github.com/hwchase17/langchainjs
Chatbot UI is an advanced chatbot kit for OpenAI's chat models built on top of Chatbot UI Lite using Next.js, TypeScript, and Tailwind CSS.
https://github.com/mckaywrigley/chatbot-ui
LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data.
https://github.com/jerryjliu/llama_index
OpenChatKit provides a powerful, open-source base to create both specialized and general purpose chatbots for various applications.
https://github.com/togethercomputer/OpenChatKit
The Vercel AI SDK is a library for building edge-ready AI-powered streaming text and chat UIs.
https://github.com/vercel-labs/ai
Desktop application of new Bing's AI-powered chatDesktop application of new Bing's AI-powered chatDesktop application of new Bing's AI-powered chat
https://github.com/dice2o/BingGPT
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
https://github.com/ItzCrazyKns/Perplexica
Get up and running with Llama 2 and other large language models locally
https://github.com/jmorganca/ollama
LangSmith lets you export data to common formats such as CSV or JSONL directly in the web app.
https://smith.langchain.com/
gpt-repository-loader is a command-line tool that converts the contents of a Git repository into a text format, preserving the structure of the files and file contents.
https://github.com/mpoon/gpt-repository-loader
ShareGPT is an open-source Chrome Extension for you to share your wildest ChatGPT conversations with one click.
https://github.com/domeccleston/sharegpt
LLM papers I'm reading, mostly on inference and model compression
https://github.com/evanmiller/LLM-Reading-List
Guidance enables you to control modern language models more effectively and efficiently than traditional prompting or chaining.
https://github.com/microsoft/guidance
ChatGPT Prompts Community
https://datafit.ai/
Alpaca Electron is built from the ground-up to be the easiest way to chat with the alpaca AI models. No command line or compiling needed!
https://github.com/ItsPi3141/alpaca-electron
Open Assistant is a project meant to give everyone access to a great chat based large language model.
https://github.com/LAION-AI/Open-Assistant
The OpenAI Cookbook shares example code for accomplishing common tasks with the OpenAI API
https://github.com/openai/openai-cookbook
FlexGen is a high-throughput generation engine for running large language models with limited GPU memory.
https://github.com/FMInference/FlexGen
https://github.com/hpcaitech/ColossalAI
https://github.com/karpathy/nanoGPT
Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.
https://github.com/openai/evals
A User Interface For LangChain
https://github.com/logspace-ai/langflow
An open platform for training, serving, and evaluating large language model based chatbots.
https://github.com/lm-sys/FastChat#fine-tuning
SGPT: GPT Sentence Embeddings for Semantic Search
https://github.com/Muennighoff/sgpt
Demo, data and code to train an assistant-style large language model with ~800k GPT-3.5-Turbo Generations based on LLaMa
https://github.com/nomic-ai/gpt4all
An open platform for training, serving, and evaluating large language model based chatbots.
https://github.com/lm-sys/FastChat
An LLM playground you can run on your laptop
https://github.com/nat/openplayground