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Source channel @githubtrending · Post #14926 · Jul 8

#jupyter_notebook#artificial_intelligence#book#large_language_models#llm#llms#oreilly#oreilly_books You can learn how to use Large Language Models (LLMs) effectively through the book *Hands-On Large Language Models* by Jay Alammar and Maarten Grootendorst. This book uses nearly 300 custom illustrations to explain key concepts and practical tools for working with LLMs, including tokenization, transformers, prompt engineering, fine-tuning, and advanced text generation. It also provides runnable code examples in Google Colab, making it easy to practice and apply what you learn. This resource helps you understand and build your own LLM applications confidently, saving you time and effort in mastering complex AI technology. It’s highly recommended for anyone wanting hands-on experience with LLMs. https://github.com/HandsOnLLM/Hands-On-Large-Language-Models

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📢 Yep.uz – Новости из Узбекистана

@yepuz · Post #11467 · 10/29/2025, 03:58 PM

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The Ukrainian project “I Want to Live” has published a list of Uzbek citizens killed or missing while fighting for Russia in its war against Ukraine. The team identified 481 individuals but says the real number is likely much higher. https://yep.uz/en/2025/10/uzbek-citizens-killed-missing-russia-war-ukraine/ #xochujit#uzbekistan#russia#ukrainewar#russianarmy#mercenaries#centralasia#migrants#uzbeks#casualties#investigation#warinukraine

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📢 Yep.uz – Новости из Узбекистана

@yepuz · Post #11466 · 10/29/2025, 02:35 PM

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Ukrainadagi “Xochu jit” loyihasi Rossiyaning Ukrainaga qarshi urushi davomida halok bo‘lgan yoki bedarak yo‘qolgan o‘zbekistonliklarning ro‘yxatini e’lon qildi. Loyihaga ko‘ra, 481 nafar shaxs aniqlangan, ammo haqiqiy raqam bundan ancha yuqori bo‘lishi mumkin. https://yep.uz/uz/2025/10/ozbekistonliklar-rossiya-armiyasida-halok-bolganlar-royxati/ #xochujit#urush#rossiyaarmiyasi#o‘zbekistonliklar #ukraina#jangchilar#markaziyosiyo#migrantlar#halokbo‘lganlar #tadqiqot#rossiyavaurush#o‘zbekiston

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