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Source channel @githubtrending · Post #14717 · May 18

#jupyter_notebook Learning about Large Language Models (LLMs) can be very beneficial. You can build exciting projects over eight weeks, starting with simple tasks and moving to more complex ones. This journey helps you develop deep expertise in AI and LLMs. You'll learn by doing hands-on projects, which is a fun and effective way to understand how these models work. By the end, you'll have skills that can be used in real-world applications, making it a valuable learning experience. https://github.com/ed-donner/llm_engineering

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@githubtrending · Post #15581 · 03/23/2026, 12:00 PM

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#other#claude#clawdbot#cli#codex#defuddle#obsidian#openclaw#opencode#skills Obsidian Skills let AI agents like Claude Code or Codex create and edit Obsidian Markdown with wikilinks and callouts, Bases files with views and formulas, JSON Canvas diagrams, interact via Obsidian CLI, and clean web pages with Defuddle. Install easily via marketplace, npx, or manual copy to your vault folder—they work with any compatible agent. This saves you time by letting AI handle note editing, vault tasks, and content cleanup directly, boosting your productivity without manual work. https://github.com/kepano/obsidian-skills

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