LLM inference in C/C++ with minimal setup and high performance for various hardware.
The ultimate training toolkit for finetuning diffusion models.
OWL is a cutting-edge framework for multi-agent collaboration in real-world task automation.
A guide for understanding and mitigating prompt attacks on large language models.
QA-Pilot is an interactive chat project that leverages online/local LLM for rapid understanding and navigation of GitHub code repository.
A repository of common questions and answers for large model algorithm interviews.
A curated list of 120+ LLM libraries categorized for various applications and frameworks.
A guidance language for controlling large language models.
High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.
Specification and documentation for the Model Context Protocol.
