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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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✅Заканчивает специальный выпуск за 2024 г краткий обзор, анализирующий процесс быстрого спекания порошковой керамической матрицы при низких температурах, когда скорость диффузии атомов мала. Предложена модель резонансного спекания, основанная на фононных колебаниях частиц. Представлен анализ условий, необходимых для реализации процесса быстрого спекания керамики. 🖌️Valery Gorelov https://orcid.org/0000-0001-6166-2065 📘Fast sintering of ceramics 📌Year 2024, Volume 3, Number 3 https://doi.org/10.15826/elmattech.2024.3.041 🏛️Institute of High-Temperature Electrochemistry UB RAS https://ihte.ru/?page_id=3106 🟣Полный текст статьи https://journals.urfu.ru/index.php/elmattech/article/view/7968/5682 #Ceramics#FastSintering