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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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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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