研究笔记 on zzszmyfhttps://zzszmyf.github.io/tags/%E7%A0%94%E7%A9%B6%E7%AC%94%E8%AE%B0/Recent content in 研究笔记 on zzszmyfHugozh-CN© 2026 zzszmyfWed, 17 Apr 2024 00:00:00 +0800VC-FCST Benchmark 落地方案：Code Agent 标准化测评https://zzszmyf.github.io/notes/vc-fcst-benchmark/Wed, 17 Apr 2024 00:00:00 +0800https://zzszmyf.github.io/notes/vc-fcst-benchmark/TurboQuant 数学原理解析https://zzszmyf.github.io/notes/turboquant-math-principles/Tue, 16 Apr 2024 00:00:00 +0800https://zzszmyf.github.io/notes/turboquant-math-principles/TurboQuant 学习路径：论文 → 技术 → 数学https://zzszmyf.github.io/notes/turboquant-learning-path/Mon, 15 Apr 2024 00:00:00 +0800https://zzszmyf.github.io/notes/turboquant-learning-path/进一步推进 MuP：从 Muon 到 SSOhttps://zzszmyf.github.io/notes/sso-spectral-sphere-optimization/Sun, 14 Apr 2024 00:00:00 +0800https://zzszmyf.github.io/notes/sso-spectral-sphere-optimization/From 10% to 96%: Qwen2.5-0.5B 文本分类微调实践https://zzszmyf.github.io/notes/qwen2.5-0.5b-text-classification-finetuning/Sat, 13 Apr 2024 00:00:00 +0800https://zzszmyf.github.io/notes/qwen2.5-0.5b-text-classification-finetuning/Puppeteer MCP 与 Playwright MCP：深度对比与选择指南https://zzszmyf.github.io/notes/puppeteer-vs-playwright-mcp/Fri, 12 Apr 2024 00:00:00 +0800https://zzszmyf.github.io/notes/puppeteer-vs-playwright-mcp/深入解读 Primus：面向大规模大语言模型的高性能训练框架https://zzszmyf.github.io/notes/primus-llm-training-framework/Thu, 11 Apr 2024 00:00:00 +0800https://zzszmyf.github.io/notes/primus-llm-training-framework/随便聊聊OpenClaw记忆系统https://zzszmyf.github.io/notes/openclaw-memory-system/Wed, 10 Apr 2024 00:00:00 +0800https://zzszmyf.github.io/notes/openclaw-memory-system/【万字硬核】微软 & NVIDIA 联合巨作《Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B》全方位技术解析https://zzszmyf.github.io/notes/mt-nlg-530b-deep-dive/Tue, 09 Apr 2024 00:00:00 +0800https://zzszmyf.github.io/notes/mt-nlg-530b-deep-dive/MoE数据特征、训练和推理的通信特点、基于NVLink/Scale Up那些Feature，DeepSeek的DeepEP和对MoE All-to-All数据的处理https://zzszmyf.github.io/notes/moe-nvlink-deepseek-deepep-communication/Mon, 08 Apr 2024 00:00:00 +0800https://zzszmyf.github.io/notes/moe-nvlink-deepseek-deepep-communication/LoRA 微调全流程实战——用 12 条数据、4 秒钟，把 Gemma 2B 训成特朗普https://zzszmyf.github.io/notes/lora-gemma2b-trump-finetuning/Sun, 07 Apr 2024 00:00:00 +0800https://zzszmyf.github.io/notes/lora-gemma2b-trump-finetuning/《KIMI K2.5: VISUAL AGENTIC INTELLIGENCE》阅读笔记https://zzszmyf.github.io/notes/kimi-k2-5-visual-agentic-intelligence/Sat, 06 Apr 2024 00:00:00 +0800https://zzszmyf.github.io/notes/kimi-k2-5-visual-agentic-intelligence/高维几何与集中不等式详解https://zzszmyf.github.io/notes/high-dim-geometry-concentration/Fri, 05 Apr 2024 00:00:00 +0800https://zzszmyf.github.io/notes/high-dim-geometry-concentration/Drifting Model vs Diffusion：复杂指令理解能力对比https://zzszmyf.github.io/notes/drifting_vs_diffusion/Thu, 04 Apr 2024 00:00:00 +0800https://zzszmyf.github.io/notes/drifting_vs_diffusion/百花齐放的 Diffusion-RL：技术路线综述https://zzszmyf.github.io/notes/diffusion-rl-methods/Wed, 03 Apr 2024 00:00:00 +0800https://zzszmyf.github.io/notes/diffusion-rl-methods/Claude Code Agent Teams 运行机制深度分析https://zzszmyf.github.io/notes/claude-code-agent-teams-deep-dive/Tue, 02 Apr 2024 00:00:00 +0800https://zzszmyf.github.io/notes/claude-code-agent-teams-deep-dive/从各家技术文章看26年Agentic RL Infra优化方向https://zzszmyf.github.io/notes/agentic-rl-infra-optimization-2026/Mon, 01 Apr 2024 00:00:00 +0800https://zzszmyf.github.io/notes/agentic-rl-infra-optimization-2026/