The Infrastructure Behind Making Local LLM Agents Actually Useful
中文摘要
本文介绍了如何通过本地开源模型、vLLM 和长上下文基础设施，构建快速可靠的科学智能体，以提升本地大模型智能体的实用性。
English Summary
This article explains how to use local open-weight models, vLLM, and long-context infrastructure to build fast, reliable scientific agents, making local LLM agents more useful.
Original Excerpt
Lessons from building a fast, reliable scientific agent with local open-weight models, vLLM, and long-context infrastructure The post The Infrastructure Behind Making Local LLM Agents Actually Useful appeared first on Towards Data Science.