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Retrieval-Augmented Generation Architecture Retrieval-Augmented Generation (RAG) enhances generative models by dynamically fetching relevant context from external knowledge stores before synthesizing a resposne. This methodology addresses core limitations of standalone large language models, including factual hallucination, temporal knowledge d ...

Auto-GPT: Autonomous AI Agent Architecture Auto-GPT represents a experimental open-source application that demonstrates the capabilities of GPT-4 as an autonomous agent. The project gained significant traction, accumulating stars at a remarkable rate. It serves as one of the first examples of GPT-4 operating with full autonomy to achieve user-d ...

Prerequisites and Environment Setup Establishing a self-hosted foundation for large language models is essential for leveraging LangChain without reliance on external paid APIs. This procedure outlines the initialization process using the Baichuan2-13B-Chat model optimized for 4-bit quantization. Ensure the server environment supports specific ...