LLM on zzszmyfhttps://zzszmyf.github.io/tags/llm/Recent content in LLM on zzszmyfHugozh-CN© 2026 zzszmyfTue, 05 May 2026 08:00:00 +0800五一假期，我花了3.5亿Token，从零写了一套企业LLM WiKihttps://zzszmyf.github.io/notes/%E4%BA%94%E4%B8%80%E5%81%87%E6%9C%9F%E4%BB%8E%E9%9B%B6%E5%86%99%E4%BC%81%E4%B8%9Allm-wiki/Tue, 05 May 2026 08:00:00 +0800https://zzszmyf.github.io/notes/%E4%BA%94%E4%B8%80%E5%81%87%E6%9C%9F%E4%BB%8E%E9%9B%B6%E5%86%99%E4%BC%81%E4%B8%9Allm-wiki/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/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/【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/