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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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@goodtraders · Post #9488 · 03/27/2026, 10:45 AM

#podcast#technology#MU#LRCX#AMAT#KLAC Когда один из крупнейших производителей памяти в мире, компания Micron, объявляет о резком увеличении капитальных затрат (capex) до 25 миллиардов долларов на 2026 год, рынок начинает искать не только выгоду для самой компании, но и тех, кто получит эти деньги напрямую. В данном подкасте Вы можете узнать об этом подробнее: 📌СЛУШАТЬ ПОДКАСТ