Automated Penetration Testing Agentic Framework Powered by Large Language Models
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ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
📋 A list of open LLMs available for commercial use.
A curated list of modern Generative Artificial Intelligence projects and services
Pocket Flow: Codebase to Tutorial
Hierarchical Reasoning Model Official Release
An open-source, tool-augmented conversational language model from Fudan University
The official GitHub page for the survey paper "A Survey of Large Language Models".
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
A curated list of 120+ LLM libraries category wise.
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
A collection of libraries to optimise AI model performances
The Ruby AI framework.
[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.
A git prepare-commit-msg hook for authoring commit messages with LLMs.
大模型（LLM）全栈学习路线与中文教程🔥：覆盖 Prompt Engineering、RAG、AI Agent、MCP、微调、模型部署、Transformer、AI 编程与大厂面试，从入门到生产实践。
A clinical decision-evidence benchmark: pull the one fact an answer rests on, and see whether the assistant's action moves with the evidence. Built on HealthBench.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).