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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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@BWETradFi |方程式财经(传统金融新闻)

@BWEtradfi · Post #5529 · 05/11/2026, 08:30 PM

Tradfin: *AST SPACEMOBILE 1Q CLASS A LOSS/SHARE 66C VS. LOSS/SHR 20C Y/Y *AST SPACEMOBILE 1Q NET LOSS $191.0M, EST. LOSS $76.3M *AST SPACEMOBILE 10 REV. $14.7M. EST. $39M #ASTS • #MMM Tradfin: *AST太空移动公司第一季度A类股每股亏损0.66美元,去年同期每股亏损0.20美元 *AST太空移动公司第一季度净亏损1.91亿美元,预计亏损7630万美元 *AST太空移动公司2010年营收1470万美元,预计营收3900万美元 #ASTS • #MMM ———————————— 2026-05-12 04:30:27

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