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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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@CryptoM · Post #64703 · 04/09/2026, 03:10 PM

🚀 Lumentum Holdings Sees 132% Return Amid Nvidia's $2 Billion Investment Lumentum Holdings has experienced a remarkable 132% return this year, transforming a $1,000 investment in January into $2,320 by April. According to NS3.AI, this impressive rally is attributed to Nvidia's substantial $2 billion acquisition of ultra-high-power lasers and capacity rights for next-generation optical interconnects. The strategic move by Nvidia has significantly boosted investor confidence in Lumentum Holdings, driving its stock performance upward. #LumentumHoldings#Nvidia#Investment#StockMarket#TechStocks#OpticalInterconnects#InvestorConfidence#HighReturn