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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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Crypto M - Crypto News

@CryptoM · Post #65152 · 04/11/2026, 01:10 PM

🚀 AI TRENDS | Faster AI Progress May Impact U.S. Labor Force Participation by 2050 A recent study conducted by multiple universities suggests that accelerated advancements in artificial intelligence could significantly affect U.S. labor force participation. According to NS3.AI, the research predicts a decline from 62% to 54% by 2050 under a rapid AI development scenario. This scenario also anticipates an annual GDP growth rate of 3.5% between 2045 and 2049. The focus of the debate has shifted to whether AI will generate sufficient new employment opportunities to counterbalance the displacement of existing jobs. #AI#AItrends#USlaborforce#AIdisplacement#GDPgrowth#laborforceparticipation #2050 #futureofwork