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Source channel @githubtrending · Post #14845 · Jun 20

#jupyter_notebook#ai#artificial_intelligence#chatgpt#deep_learning#from_scratch#gpt#language_model#large_language_models#llm#machine_learning#python#pytorch#transformer You can learn how to build your own large language model (LLM) like GPT from scratch with clear, step-by-step guidance, including coding, training, and fine-tuning, all explained with examples and diagrams. This approach mirrors how big models like ChatGPT are made but is designed to run on a regular laptop without special hardware. You also get access to code for loading pretrained models and fine-tuning them for tasks like text classification or instruction following. This helps you deeply understand how LLMs work inside and lets you create your own functional AI assistant, gaining practical skills in AI development[1][2][3][4]. https://github.com/rasbt/LLMs-from-scratch

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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