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How Claude Code Skills Work Under the Hood
抓包 Claude Code —— Skill 的实现原理Source: Xiaohongshu post by 程序员小山与Bug Core question: How are Claude Code Skills actually implemented under the hood? "Skill 怎么实现的?" — The author's verdi... -
Test Time LLMs
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debug on gpu node
Debugging on a Specialized GPU Node with VS CodeIn this post, we’ll explore how to connect to a GPU node on a cluster server via SSH in Visual Studio Code (VS Code) and debug a Python file in that ... -
check GPU on an integrated server
Using nvidia-smi on Integrated ServersWhen logged into an integrated server and attempting to use the nvidia-smi command directly in the command line, you might encounter the following error: “bash... -
Access to Internal Server From Jump Server
Using a Jump Server for Internal Network AccessIn scenarios where direct access to internal network resources is restricted due to security policies, a jump server (also known as a bastion host) ac... -
summer notes2
Learning Notebook on Hugging Face and TOFUThis notebook is used to explore the functionalities of Hugging Face, a leading platform for natural language processing (NLP), and TOFU, a framework focus... -
summer notes
Learning Notes on Optimal Transport1. IntroductionOT allows to definemeaningful distancesbetween point clouds (ordatasets), hence isapplicable in most ML settings. 2. Mathematical Formulation2.1 Mo... -
hexo_blog_issues
Hexo Blog Setup Issues SummaryIssue 1: Web Page Fails to Render After DeploymentDescriptionAfter deploying the Hexo blog to a hosting platform such as GitHub Pages, the web page may not render prop... -
env
envTensorFlow - GPU - dockerdocker https://docs.docker.com/engine/install/ubuntu/#set-up-the-repository tensorflow gpu https://www.tensorflow.org/install/docker?hl=zh-cn https://www.tensorflow.org/... -
Soft Actor-Critic (SAC)
Soft Actor-Critic (SAC)Maximum Entropy Reinforcement learning off policy stochastic policy and not deterministic policy (Only one action is considered optimal in each state) Codes: rail-berkeley&#...
