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Source channel @githubtrending · Post #14737 · May 22

#other This book provides a systematic introduction to large language models (LLMs), covering topics like traditional language models, LLM architectures, prompt engineering, efficient parameter tuning, model editing, and retrieval-enhanced generation. It aims to be easy to read and rigorous, with monthly updates and a list of relevant papers. The book helps readers understand LLMs' principles and applications, making it beneficial for those interested in AI and NLP. It offers a structured learning path, which is useful for both beginners and advanced learners. https://github.com/ZJU-LLMs/Foundations-of-LLMs

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@eco_cn · Post #29975 · 03/17/2026, 03:42 AM

摩根大通:在CPO方面,市场叙事已经历从熊到中性再到看多的完整轮转。早期市场担忧CPO的普及会压缩收发器收入,但这一逻辑已被事实证伪——CPO带来的增量营收机会对相关公司的增长预期形成叠加而非替代。 行业分析机构预测,#CPO 市场规模将从2027年的不足5亿美元,增长至2030年的约100亿美元,其中规模扩展(scale-up)应用场景而非规模延伸(scale-out)是主要增长引擎。 投资者的关注点也随之转移:在确认光学公司整体受益于CPO之后,下一阶段的核心问题在于CPO赢家与输家的分化。摩根大通认为,Coherent #COHR 和Lumentum #LITE 凭借既有订单及英伟达的供应链定向投资,已稳固确立了CPO赢家地位。