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Source channel @githubtrending · Post #14845 · Jun 20

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#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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@CoinSonar · Post #244155 · 04/18/2026, 11:50 AM

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#SHELL | Volume spike (USDT PAIR) 157 times the average volume 107.23K USDT traded in 5 min └Buying vol: 71.56K USDT 🟢 Boost score: 6/10 24h Vol: 195.50K USDT (Binance) Price: 0.0344 (-4.6% in 24h)

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Coin Sonar

@CoinSonar · Post #243989 · 04/18/2026, 05:43 AM

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#SHELL | Volume spike (USDT PAIR) 165 times the average volume 112.64K USDT traded in 5 min └Buying vol: 70.51K USDT 🟢 Boost score: 7/10 24h Vol: 195.50K USDT (Binance) Price: 0.0357 (-4.6% in 24h)

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