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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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Addis Standard

@addisstandardeng · Post #21636 · 03/07/2026, 05:33 AM

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#African experts meet in #Rwanda for continental textile standardization African experts have convened in the Rwandan capital #Kigali for the Technical Committee (#TC 53) meeting on the standardization of textiles, textile products, and accessories. The forum, which ran from Tuesday to Friday, focused on finalizing agreements and establishing key standards and labeling systems for the textile sector, with the aim of strengthening trade and supporting economic growth within the continent's textile industry. Hermogene Nsengimana, secretary general of the African Organisation for Standardization (#ARSO), highlighted that Africa still faces a significant gap in developing common quality standards. He added that currently, only about 25 percent of the standards required for all products in the African common market have been established. Nsengimana said that ARSO has set a target to significantly reduce this gap within the...... https://english.news.cn/africa/20260307/6634375ed4a4474cab2c20d0c4a31253/c.html

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