Evaluate open-source language models on Agent, formatted output, command following, long text, multilingual, coding, and custom task capabilities. 开源语言模型在Agent,格式化输出,指令追随,长文本,多语言,代码,自定义任务的能力基准测试。
MIT License
GPT-4 level function calling models for real-world tool using use cases
Chatbot from pretrained LLaMA-2 LLM model, fine-tuned with medical research papers using RAG (Ret...
LLM Finetuning with peft
Simple mac/unix terminal assistant with LLM agents capable of various tasks
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable fo...
Agents in Markdown syntax (loops, memory and tools included) 🍓
LLMCompiler: An LLM Compiler for Parallel Function Calling
Train Llama 2 & 3 on the SQuAD v2 task as an example of how to specialize a generalized (foundati...
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with cus...
Benchmark your local LLMs.
Self-Repairing Autonomous Agent for Digital Consciousness Backup Using Large Language Models (LLM...
This project is an AI-powered document analysis bot designed to process and extract information f...
A simple, intuitive toolkit for quickly implementing LLM powered applications.
A lightweight library that leverages Language Models (LLMs) to enable natural language interactio...
AgentX is an Open-source library that help people use LLMs on their own computers or help them to...