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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 #65248 · 04/12/2026, 09:35 AM

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🚀 Tether CEO Advocates for Open AI Development Tether CEO Paolo Ardoino has expressed his views on the development of artificial intelligence, stating that AI should be as open as freedom. According to Odaily, Ardoino criticized the centralized approach to AI development, describing it as a 'dead end.' In contrast to the closed AI systems being developed by major tech companies, Tether is exploring alternative methods through QVAC, which focuses on running AI models on local devices. This approach aims to give users control over their data and computing power, aligning with the crypto industry's core principle of self-custody, where users maintain autonomy over their data and computational resources. #Tether#CEO#AIdevelopment#openAI#freedom#centralizedAI#selfcustody#crypto#localdevices#dataprivacy

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