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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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Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40364 · 12/19/2025, 07:02 PM

Chemists at UC Berkeley created a new catalytic process that turns plastic bags and bottles (polyolefins) into gases like propylene and isobutylene. These gases are used to make new plastics like polypropylene. The process uses cheap solid catalysts and can be scaled up for industrial use. This method helps recycle plastics better and supports a circular economy by turning waste into new materials. 🔄♻️ [Source] @googlefactss #plasticrecycling#catalysis#polyolefins#circularEconomy#sustainability#chemistry#innovation