Najlepsze narzędzia AI do Llm Applications

DSPy: The framework for programming—not prompting—foundation models.

Comprehensive set of tools for working with local LLMs for various tasks.

Lightweight alternative to LangChain for composing LLMs

Seamlessly integrate LLMs as Python functions

Use ChatGPT On Wechat via wechaty

Test your prompts. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality.

a chat interface crafted with llama.cpp for running Alpaca models. No API keys, entirely self-hosted!

Harness LLMs with Multi-Agent Programming

Framework to create ChatGPT like bots over your dataset.

simplifies the evaluation of LLMs by providing a unified microservice to access and test multiple AI models.

Formerly langchain-ChatGLM, local knowledge based LLM (like ChatGLM) QA app with langchain.

Build your own conversational search engine using less than 500 lines of code by.

Create, deploy and operate Actions using Python anywhere to enhance your AI agents and assistants. Batteries included wi

Locally running websearch using LLM chains

— Gateway streamlines requests to 100+ open & closed source models with a unified API. It is also production-ready with

Simple API for deploying any RAG or LLM that you want adding plugins.

WebAssembly binding for llama.cpp - Enabling in-browser LLM inference

An open-source GPU cluster manager for running LLMs

- A Device-Inference framework, including LLM Inference on device(Mobile Phone/PC/IOT)

An interactive chat project that leverages Ollama/OpenAI/MistralAI LLMs for rapid understanding and navigation of GitHub