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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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ФГБУН Институт высокотемпературной электрохимии УрО РАН

@ihteubras · Post #419 · 11/29/2023, 04:29 AM

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Опубликована новая работа 🟠 2023 🟠 V. 10 🟠 Issue 4 🟠 Art. 202310409 🟠 Article 🟠 📜 Features of forming a low-temperature cubic Li7La3Zr2O12 film by tape casting 👩‍🎓👨‍🎓 E. Lyalin (http://orcid.org/0000-0002-0539-506X), L. Pershina (http://orcid.org/0000-0003-1759-5234), E. Il’ina, K. Druzhinin (http://orcid.org/0000-0002-8947-8208), S. Belyakov (https://orcid.org/0000-0001-9237-8307) 🏛 Institute of High Temperature Electrochemistry, UB RAS, https://ihte.ru 🏛 Ural Federal University, https://urfu.ru/en 📚#Li7La3Zr2O12#LIB#lithium#conductivity#films#tapecasting#allSSB 🔗https://doi.org/10.15826/chimtech.2023.10.4.09 https://www.chimicatechnoacta.ru/index.php/chimtech/article/view/7161

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