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Source channel @githubtrending · Post #14909 · Jul 3

#other#agent#llm#rag Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research. https://github.com/datawhalechina/happy-llm

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✅Специальный выпуск № 3 за 2024 г продолжает обзор, рассматривающий актуальные вопросы разработки полностью твердотельных литиевых аккумуляторов с использованием композитного материала на основе Li7La3Zr2O12 (LLZ). Обсуждается, что за счет введения различных добавок можно снизить температуру и/или время спекания твердого электролита при сохранении значений литий-ионной проводимости порядка 10^{–4} См/см при комнатной температуре. 🖌️Eugenia Ilyina (https://orcid.org/0000-0003-1759-5234) 📘Composite solid electrolytes based on Li7La3Zr2O12 for all-solid-state lithium power sources 📌Year 2024, Volume 3, Number 3 (Special Issue) https://doi.org/10.15826/elmattech.2024.3.038 🏛️Institute of High-Temperature Electrochemistry UB RAS https://ihte.ru/?page_id=3106 текст статьи https://journals.urfu.ru/index.php/elmattech/article/view/7769/5582 #CompositeSolidElectrolyte#Conductivity