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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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@emagzinewspars · Post #9351 · 10/15/2025, 10:30 AM

#The_Harvard_Business_Review🇺🇸📕[PDF]⬇️ #November2025 #December2025 #Monthly_Magazines For learning, for free(dom). @backupofmagazines In this issue, leaders are urged to confront the #HiddenBeliefs that silently block their growth. This edition explores how to build #OctopusOrganizations in a complex world, master #GenAI strategy, and learn from #PrivateEquity playbooks. From “strategic hibernation” to smarter disagreement, the issue decodes #EmotionalIntelligence and #Leadership in times of uncertainty. Discover why “hands-on” CEOs outperform, how to monetize your data, and why #AIpilots often fail. Featuring #EstherDuflo and case studies on CHRO missteps, this issue is a must for #OrganizationalChange agents. #HBR#Strategy#Management#GrowthMindset#BusinessLeadership