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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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@CryptoM · Post #65049 · 04/10/2026, 04:29 PM

🚀 Securitize's Potential Market Impact Highlighted by Benchmark Securitize is poised for significant growth as it prepares to go public through a merger with Cantor Equity Partners II, trading under the ticker SECZ. According to NS3.AI, Benchmark has reiterated a $16 price target for SECZ, emphasizing that capturing just one basis point of the approximately $44 trillion market value of NYSE-listed companies could more than double Securitize's current platform assets, which are roughly $4 billion. #Securitize#MarketImpact#IPO#CantorEquityPartners#SECZ#NS3AI#Benchmark#NYSE#Finance#Investment#StockMarket#Growth