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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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@truegames · Post #96 · 01/17/2025, 03:55 PM

🔥 The Second Semifinal: It will be difficult to choose 🔥 🐉 Haku: Can his wisdom (and maybe a good dentist) defeat "Toothless"? Or will he "Spirited away"? 🐲 Toothless: If he doesn’t bite Haku, his overwhelming cuteness might just win this battle. The final boss is waiting—a massive Smaug who fears hobbits and shiny gold rings. Who will take him on? Vote bellow! #DragonsCall#TrueLabGames

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@truegames · Post #120 · 01/31/2025, 03:08 PM

🔥1 week after Dragon's Call release and we got: 👾70,000players played 😮x1268max win In celebration of this we redesign game cover in different art styles🎨, try to guess what those styles are! #dragonscall#truelab#slots

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@truegames · Post #119 · 01/30/2025, 04:52 PM

Our new column - Panda news from Dragon's Call📰 Today we discuss Colombia's tax hike in gambling💔 What do you think of this format?🐼 #news#pandanews#slots#dragonscall