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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 #64964 · 04/10/2026, 12:30 PM

🚀 Jamie Dimon Warns of Rising U.S. Debt Risks and Global Deficits Jamie Dimon has expressed concerns over the increasing risks associated with U.S. debt. According to NS3.AI, Dimon referenced a Congressional Budget Office forecast predicting that the debt-to-GDP ratio will escalate from the current 100% to 120% by 2036. He highlighted that global deficits are currently at 5%, despite the relatively healthy state of the global economy. Dimon also cautioned that a future downturn in the credit cycle could lead to higher-than-anticipated losses in leveraged lending. #USDebt#GlobalDeficits#DebtToGDP#CreditRisk#LeveragedLending#EconomicForecast