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Source channel @githubtrending · Post #14845 · Jun 20

#jupyter_notebook#ai#artificial_intelligence#chatgpt#deep_learning#from_scratch#gpt#language_model#large_language_models#llm#machine_learning#python#pytorch#transformer You can learn how to build your own large language model (LLM) like GPT from scratch with clear, step-by-step guidance, including coding, training, and fine-tuning, all explained with examples and diagrams. This approach mirrors how big models like ChatGPT are made but is designed to run on a regular laptop without special hardware. You also get access to code for loading pretrained models and fine-tuning them for tasks like text classification or instruction following. This helps you deeply understand how LLMs work inside and lets you create your own functional AI assistant, gaining practical skills in AI development[1][2][3][4]. https://github.com/rasbt/LLMs-from-scratch

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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

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