MiniCPM5: SOTA on-device LLMs, small yet powerful.
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SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
SoTA LLM for converting natural language questions to SQL queries
SOTA search powered LLM
An open-source document parsing model with SOTA accuracy and speed, using an RSI loop during post-training.
llama.cpp fork with additional SOTA quants and improved performance
LLM-as-a-Verifier is a general-purpose framework that provides fine-grained feedback for any agent without requiring additional training. It achieves SOTA performance across coding, robotics, and medical agentic benchmarks.
A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.