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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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𝗗𝗜𝗔𝗥𝗜𝗢 𝗗𝗘 𝗟𝗔 𝗠𝗟𝗕 ⚾️🇺🇸

@MLB_Daily · Post #16733 · 02/11/2026, 02:02 AM

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👀 Isiah Kiner-Falefa dice que los Blue Jays estaban "contentos" de enfrentarse a los Yankees en lugar de los Red Sox en la Serie Divisional de la Liga Americana porque eran un enfrentamiento "más fácil", escribe Tim Healey del Boston Globe. 🐦 Los Jays avanzaron después de ganar la serie contra los Yankees, 3 juegos a 1. Los Yankees en la temporada regular estaban empatados con Toronto con 94 victorias, pero los Blue Jays ganaron la división a través del desempate cara a cara. Los Red Sox, que ahora tienen a IKF en su equipo, terminaron en tercer lugar con 89 victorias. #️⃣#BlueJays#IKF 🗞 | t.me/MLB_Daily

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