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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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@githubtrending · Post #15504 · 02/19/2026, 12:00 PM

#other#awesome_list#awesone#distrubuted#global#infra#onboarding#paas#saas#toolbox Free SaaS tools span multiple business functions—from project management (Asana, Trello) and CRM (HubSpot, Zoho) to design (Figma), video conferencing (Zoom), and data analysis—enabling startups and small teams to operate efficiently without upfront costs. Many platforms offer free tiers with essential features, allowing you to test tools before upgrading. This approach lets you build a complete tech stack affordably, scale gradually as your business grows, and allocate budget toward features that directly drive revenue rather than basic software licenses. https://github.com/LlamaGenAI/awesome-free-saas