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Source channel @githubtrending · Post #14909 · Jul 3

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#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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📰 Info_Dota2

@Info_Dota2 · Post #36588 · 03/04/2025, 06:33 PM

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🟢¡VUELVEN A JUGAR JUNTOS! 🤯🔥 -A través de un comunicado oficial en sus redes sociales, la organización de 🇨🇳Xtreme Gaming anunció el regreso de 🇨🇳Ame, 🇨🇳XinQ, 🇨🇳Xxs y 🇨🇳Xiao8 a su roster principal de Dota 2 para los siguientes torneos 😮 🔹El roster principal de Xtreme quedaría de la siguiente manera; 1. 🇨🇳Ame 2. 🇨🇳Xm 3. 🇨🇳Xxs 4. 🇨🇳XinQ 5. 🇨🇳Undyne Coach: 🇨🇳Xiao8 🔸Como consecuencia de este drástico cambio de roster, Xtreme no podrá participar de la 🏆ESL One Raleigh. En su lugar, está invitado el equipo de NTS y Bach"🇨🇳TideBound" 🤠 Este nuevo Xtreme Gaming hará su debut en la 🏆PGL Wallachia 3 que inicia la próxima semana 😉 #esports#dota2#Xtreme @Info_Dota2

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