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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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IELTS|Newspapers & Magazines｜English

@emagzinewspars · Post #9391 · 10/21/2025, 08:58 AM

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#The_Science🇺🇸📕[PDF]⬇️ 16 #October2025 #Weekly_Magazines For learning, for free(dom). @backupofmagazines This week’s Science dives deep into the frontiers of #Nanoscopy, visualizing neural circuits with stunning 3D precision. From Arctic #Permafrost preserving ancient RNA viruses to #Ant colonies evolving architectural immunity, the issue spans from the microscopic to the planetary. Groundbreaking work tracks #SeaLevel change over 4.5 million years and explores durable #Hydrogen production membranes and electric control in #2Dmaterials. The “#ColdStorage” feature warns of hidden viral archives in melting ice—a chilling insight into #ClimateScience and future pandemics. A visionary issue linking biology, chemistry, and global sustainability through the lens of innovation.

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