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大模型微调框架之TRL 近年来，大语言模型（LLMs）的快速发展推动了下游应用的繁荣，但如何高效地对这些模型进行对齐和微调，依然是研究与应用的热点。Hugging Face 开源的 TRL（Transformer Reinforcement Learning）框架，提供了基于强化学习的语言模型训练方法，并支持 SFT（监督微调）、PPO（近端策略优化）、DPO（直接偏好优化）等多种方式，是目前对齐和微调 LLM 的重要工具。阅读详情

Build Python web applications with the FARM stack. This book aims to teach you how to design, build and deploy fast, scalable, standards-compliant, and flexible full-stack applications in an efficient and, hopefully, fun way. By the end of this book, you should be comfortable modeling the most diverse business problems with fluid requirements through a set of modern technologies and online services. , 相关下载链接：https://download.csdn.net/download/LaLaLaZouBa/87419051?utm_source=bbsseo

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