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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 #64994 · 04/10/2026, 01:15 PM

🚀 SimpleChain Secures $15 Million in Seed Funding for RWA Network SimpleChain has announced the successful completion of a $15 million seed funding round. According to Foresight News, the funding was supported by family offices and institutional investors. SimpleChain aims to develop a Real World Asset (RWA) Layer 1 network, positioning itself as an 'Institutional OS' for RWA. The network will be powered by Granular Data and native CaaS, focusing on providing financial-grade infrastructure for the tokenization of real-world assets globally. #SimpleChain#SeedFunding#RWA#Layer1Network#InstitutionalOS#GranularData#CaaS#Tokenization#RealWorldAssets#FinancialInfrastructure