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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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Crypto M - Crypto News

@CryptoM · Post #65225 · 04/12/2026, 04:30 AM

🚀 Stablecoin Transaction Volume Projected to Surge by 2035 Chainalysis has projected a significant increase in the inflation-adjusted real economic transaction volume of stablecoins, estimating a rise from $28 trillion in 2025 to $719 trillion by 2035. According to NS3.AI, this growth could see stablecoin payment processing volumes reaching parity with Visa between 2031 and 2039. #Stablecoin#TransactionVolume#Crypto#Blockchain#Finance#PaymentProcessing#Visa#EconomicGrowth#NS3AI#Chainalysis