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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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Coin Sonar

@CoinSonar · Post #243681 · 04/17/2026, 01:29 PM

#SOL | Volume spike (BTC PAIR) 70 times the average volume 8.431 BTC traded in 1 min └Selling vol: 5.858 BTC 🔴 Boost score: 1/10 24h Vol: 172.656 BTC (Binance) Price: 0.0011659 (-2.1% in 24h)

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Coin Sonar

@CoinSonar · Post #243680 · 04/17/2026, 01:29 PM

#SOL | Volume spike (USDT PAIR) 59 times the average volume 10.41M USDT traded in 1 min └Buying vol: 7.71M USDT 🟢 Boost score: 5/10 24h Vol: 250.59M USDT (Binance) Price: 89.52 (-3.6% in 24h)

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Coin Sonar

@CoinSonar · Post #243284 · 04/16/2026, 07:08 PM

#SOL | Volume spike (BTC PAIR) 188 times the average volume 22.542 BTC traded in 1 min └Selling vol: 19.917 BTC 🔴 Boost score: 1/10 24h Vol: 172.656 BTC (Binance) Price: 0.0011880 (-2.1% in 24h)

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