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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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@Shumozy · Post #8776 · 12/25/2025, 07:59 AM

#Windows#Install#Clean Up https://pan.quark.cn/s/04a85bcccc73 https://pan.baidu.com/s/1UxkdBBRzvvwtgcLQ3-VFBA?pwd=yguj https://pan.xunlei.com/s/VOhJVolqMRujDdmMR4dvqQj-A1?pwd=hgan 频道指南机场推荐AI绘画

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@githubtrending · Post #15374 · 12/28/2025, 01:00 PM

#shell#analyzer#appcleaner#clean#cleaner#cleaner_cli#cleaner_script#command_line#daisydisk#istat#mac#macos#optimize#sensei#shell#uninstall Mole is a free, open-source terminal tool that deeply cleans and optimizes your Mac by removing caches, logs, browser junk, and app leftovers—freeing up gigabytes like 95GB in one go. It smartly uninstalls apps with all hidden files, analyzes disk space visually, monitors CPU/memory live, and rebuilds caches for better speed. Install easily via curl or Homebrew, preview changes safely, and use Touch ID. This saves you money on paid cleaners, reclaims storage fast, boosts performance, and diagnoses issues simply from your terminal. https://github.com/tw93/Mole