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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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@emagzinewspars · Post #9460 · 11/03/2025, 03:27 AM

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#The_Bloomberg🇺🇸📕[PDF]⬇️ #November2025 #Monthly_Magazines For learning, for free(dom). @backupofmagazines This issue pits #GavinNewsom against a shifting #USPolitics map while probing the supposed #AIBubble, from frothy valuations to real-world productivity. A climate-forensics read asks whether #CloudSeeding worsened Dubai’s deadly storm—at the nexus of #ExtremeWeather and #ClimateChange. The geo-economics file tracks India’s wobbling investments, China’s expanding #Ports, and weaponized #SupplyChains. For investors, the issue weighs #ETFs, #401k tweaks, #BigTech concentration risk, and hedges in #Europe and #Gold. Lifestyle detours sample Utah powder and the dive-bar revival. It’s a brisk tour of power, money, and culture in a volatile world. #Markets#Investing#Energy#MiddleEast#Africa#Healthcare#Birkenstocks