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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 #15383 · 01/02/2026, 11:30 AM

#go#customer#feature_request#feedback#ideas#suggestions Fider is a simple tool for collecting customer feedback, feature requests, and votes to prioritize what users want most. Use Fider Cloud for quick managed setup or self-host it free on your servers. Customize it, invite users to suggest ideas, vote, and discuss, then update statuses like "planned" or "done" to keep them informed. This saves time guessing needs, boosts customer loyalty through engagement, and helps build better products efficiently. https://github.com/getfider/fider