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Source channel @githubtrending · Post #14737 · May 22

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#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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IELTS|Newspapers & Magazines｜English

@emagzinewspars · Post #9464 · 11/03/2025, 03:27 AM

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#The_Science🇺🇸📕[PDF]⬇️ 30 #October2025 #Weekly_Magazines For learning, for free(dom). @backupofmagazines This issue delivers a powerful special on the #MandalayEarthquake, unpacking rupture physics and how Earth’s crust defies its own limits. Seismic data, #AI-based imaging, and dual-material energy models reveal a new frontier in #Geophysics. Meanwhile, reports span #BigTech access wars, #COVID19 legacy effects, and synthetic antibodies for #Snakebite treatment. Behavioral studies highlight chimpanzee rationality and neural rewiring. Advances in #Catalysis, #Recycling, and #Neuroscience mark the rise of adaptive science facing global turbulence. From earthquakes to evolution, this issue captures the restless pulse of a changing planet. #ClimateCrisis#EarthScience#Innovation#Research

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#the_science#october2025#weekly_magazines#mandalayearthquake#ai#geophysics#bigtech#covid19#snakebite#catalysis#recycling#neuroscience#climatecrisis#earthscience#innovation#research