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Source channel @githubtrending · Post #14926 · Jul 8

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#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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ALL About RSS

@AboutRss · Post #1051 · 06/13/2021, 01:00 PM

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本周 RSS #玩家#教程 分享 1️⃣「搭建一个 rss 订阅 bot」 https://ednovas.xyz/2021/06/07/rss_bot/ 2️⃣「How to add a RSS feed to a #rails blog」 https://webdevchallenges.com/how-to-add-a-rss-feed-to-a-rails-blog 3️⃣「How to use #GitHub actions and Contentful webhooks to show your latest blog posts on your GitHub profile README」 https://whitep4nth3r.com/blog/how-to-github-actions-contentful-webhooks-to-show-latest-blog-posts-readme 4️⃣「How To Create RSS Feeds In #Golang」 https://medium.com/canopas/how-to-create-rss-feeds-in-golang-43a99fa302e9

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GitHub Trends

@githubtrending · Post #15303 · 12/04/2025, 07:00 PM

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#ruby#hotwire#kanban#rails#ruby Fizzy is an open-source Kanban tool by 37signals that helps you visually track tasks and ideas using boards with columns. You can set it up easily, run it locally or with MySQL, and test it with built-in commands. It supports email previews and web push notifications for updates. Fizzy is designed to be simple, modern, and customizable, letting you self-host for full control over your data. It also offers a companion SaaS gem for billing and production setups. This means you get a flexible, transparent way to manage projects and workflows, with the option to run it yourself or use a hosted service. https://github.com/basecamp/fizzy

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#ruby#hotwire#kanban#rails