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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 #244077 · 04/18/2026, 08:36 AM

#DOGE | Volume spike (USDT PAIR) 74 times the average volume 3.55M USDT traded in 1 min └Selling vol: 2.89M USDT 🔴 Boost score: 1/10 24h Vol: 68.31M USDT (Binance) Price: 0.09710 (-5.0% in 24h)

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Coin Sonar

@CoinSonar · Post #243652 · 04/17/2026, 01:02 PM

#DOGE | Volume spike (USDT PAIR) 9 times the average volume 6.88M USDT traded in 15 min └Buying vol: 4.67M USDT 🟢 Boost score: 3/10 24h Vol: 68.31M USDT (Binance) Price: 0.10059 (-5.0% in 24h)

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Coin Sonar

@CoinSonar · Post #243325 · 04/16/2026, 09:18 PM

#DOGE | Volume spike (USDT PAIR) 70 times the average volume 3.33M USDT traded in 1 min └Buying vol: 3.07M USDT 🟢 Boost score: 6/10 24h Vol: 68.31M USDT (Binance) Price: 0.09911 (-5.0% in 24h)

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