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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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@world_music_geek · Post #776 · 10/10/2024, 10:00 AM

Various Artists — Songs and Dances of Yugoslavia (Folkways Records, 1951) #traditional#accordion#clarinet#fiddle#kaval#tambura#tamburica#violin#gusle#tamburica#Serbia#Bosnia_and_Herzegovina#Montenegro#Croatia#Macedonia#Slovenia#Yugoslavia В 1951 году музыковед Лора Болтон записала традиционную музыку из всех шести республик бывшей Югославии — Сербии (треки 2, 3, 9, 10, 11 и 13), Македонии (треки 7 и 15), Боснии и Герцеговины (треки 1, 4 и 12), Черногории (трек 8), Хорватии (треки 5 и 6) и Словении (трек 14). На её пластинке представлены вокальные композиции, оркестровые произведения и записи балканских народных инструментов, таких как гусле и тамбурица. 🔗Spotify | AppleMusic