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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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EdgeMarket.AI 📣

@edgemarketai · Post #8024 · 03/09/2026, 06:12 PM

Everyone is asking the same thing 👀🔥 Could June 14 become the most unexpected crossover event in modern media? Not because of sport alone. Because when politics + spectacle + attention collide, probability moves fast. This is where EdgeMarket watches signal before certainty. What starts as a joke online sometimes becomes the next major headline. Would you rate this impossible… unlikely… or already moving? 📊⚡ #EdgeMarket#AI#FutureSignals#NarrativeShift#June14

EdgeMarket.AI 📣

@edgemarketai · Post #8009 · 02/27/2026, 12:43 PM

Markets move on signals. Reality moves on decisions. A single announcement could reshape geopolitics, energy prices, defense markets, and global risk appetite. The question isn’t what you think it’s what happens next. EdgeMarket tracks real-world outcomes, not opinions. Will a Ukraine peace deal be announced by February 28? #Geopolitics#GlobalRisk#PredictionMarkets#DecisionIntelligence#Ukraine#USPolitics#EdgeMarket#FutureSignals#Macro