@tomoko_channel · Post #1349 · 10/14/2025, 01:16 AM
🔖 独居生活清洁指南 - 少数派 #pinboard#clean https://sspai.com/post/43862
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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
Search: #clean
@tomoko_channel · Post #1349 · 10/14/2025, 01:16 AM
🔖 独居生活清洁指南 - 少数派 #pinboard#clean https://sspai.com/post/43862
@LiveHealthy · Post #7080 · 03/20/2025, 09:58 PM
#clean#kitchen
@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
@TestFlightX · Post #34484 · 11/06/2024, 01:23 AM
#SPAMDRAIN#CLEAN#EMAIL https://testflight.apple.com/join/dXHMfCSC
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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