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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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AI match predictions

@ai_match_prediction · Post #12065 · 05/12/2026, 01:05 PM

Scotland Premiership🏴󠁧󠁢󠁳󠁣󠁴󠁿 2026-05-12 18:45 UTC Kilmarnock vs. Dundee Predicted outcome: Kilmarnock✅ Predicted score: 2:1 Actual: Kilmarnock 3:1 #Kilmarnock#Dundee 2026-05-12 18:45 UTC Aberdeen vs. ST Mirren Predicted outcome: Aberdeen❌ Predicted score: 2:1 Actual: ST Mirren 0:2 #Aberdeen#STMirren 2026-05-12 18:45 UTC Dundee Utd vs. Livingston Predicted outcome: Dundee Utd❌ Predicted score: 2:1 Actual: Draw 0:0 #DundeeUtd#Livingston 2026-05-12 18:45 UTC Dunfermline vs. Partick Predicted outcome: Dunfermline❌ Predicted score: 2:1 Actual: Draw 1:1 #Dunfermline#Partick #Football#ScotlandPremiership