<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>古咩私人博客</title><link>http://45.207.215.150:8090/</link><atom:link href="http://45.207.215.150:8090/rss.xml" rel="self" type="application/rss+xml"/><description>古咩私人博客</description><generator>Halo v2.25.4</generator><language>zh-cn</language><lastBuildDate>Wed, 22 Jul 2026 07:52:52 GMT</lastBuildDate><item><title><![CDATA[DeeR-VLA 精读：用动态早退加速多模态机器人推理]]></title><link>http://45.207.215.150:8090/archives/deervla-dynamic-early-exit-inference-acceleration</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=DeeR-VLA%20%E7%B2%BE%E8%AF%BB%EF%BC%9A%E7%94%A8%E5%8A%A8%E6%80%81%E6%97%A9%E9%80%80%E5%8A%A0%E9%80%9F%E5%A4%9A%E6%A8%A1%E6%80%81%E6%9C%BA%E5%99%A8%E4%BA%BA%E6%8E%A8%E7%90%86&amp;url=/archives/deervla-dynamic-early-exit-inference-acceleration" width="1" height="1" alt="" style="opacity:0;">从多出口 MLLM、动作一致性判据与预算约束出发，拆解 NeurIPS 2024 的 DeeR-VLA 如何动态跳过 LLM 层，实现多模态机器人推理加速。]]></description><guid isPermaLink="false">/archives/deervla-dynamic-early-exit-inference-acceleration</guid><dc:creator>Administrator</dc:creator><category>AI</category><pubDate>Wed, 22 Jul 2026 07:18:29 GMT</pubDate></item><item><title><![CDATA[TD-MPC2 精读：用隐式世界模型统一 104 个连续控制任务]]></title><link>http://45.207.215.150:8090/archives/tdmpc2-scalable-world-models</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=TD-MPC2%20%E7%B2%BE%E8%AF%BB%EF%BC%9A%E7%94%A8%E9%9A%90%E5%BC%8F%E4%B8%96%E7%95%8C%E6%A8%A1%E5%9E%8B%E7%BB%9F%E4%B8%80%20104%20%E4%B8%AA%E8%BF%9E%E7%BB%AD%E6%8E%A7%E5%88%B6%E4%BB%BB%E5%8A%A1&amp;url=/archives/tdmpc2-scalable-world-models" width="1" height="1" alt="" style="opacity:0;">从隐式潜在动力学、SimNorm、离散回归、策略先验与 MPPI 规划出发，拆解 ICLR 2024 Spotlight 论文 TD-MPC2 如何用统一超参数稳定训练并扩展到 317M 参数、80 个任务。]]></description><guid isPermaLink="false">/archives/tdmpc2-scalable-world-models</guid><dc:creator>Administrator</dc:creator><category>AI</category><pubDate>Wed, 22 Jul 2026 01:15:00 GMT</pubDate></item><item><title><![CDATA[Yo'LLaVA 精读：用 16 个软 Token 记住你的专属视觉概念]]></title><link>http://45.207.215.150:8090/archives/yollava-personalized-multimodal-assistant</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=Yo%27LLaVA%20%E7%B2%BE%E8%AF%BB%EF%BC%9A%E7%94%A8%2016%20%E4%B8%AA%E8%BD%AF%20Token%20%E8%AE%B0%E4%BD%8F%E4%BD%A0%E7%9A%84%E4%B8%93%E5%B1%9E%E8%A7%86%E8%A7%89%E6%A6%82%E5%BF%B5&amp;url=/archives/yollava-personalized-multimodal-assistant" width="1" height="1" alt="" style="opacity:0;">从可学习身份 Token、视觉属性软提示与难负样本出发，拆解 NeurIPS 2024 的 Yo'LLaVA 如何用 5 张图完成多模态大模型个性化。]]></description><guid isPermaLink="false">/archives/yollava-personalized-multimodal-assistant</guid><dc:creator>Administrator</dc:creator><category>AI</category><pubDate>Tue, 21 Jul 2026 07:07:30 GMT</pubDate></item><item><title><![CDATA[FlashAttention-3 精读：用异步流水与 FP8 加速 Hopper Attention]]></title><link>http://45.207.215.150:8090/archives/flashattention3-hopper-asynchronous-attention</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=FlashAttention-3%20%E7%B2%BE%E8%AF%BB%EF%BC%9A%E7%94%A8%E5%BC%82%E6%AD%A5%E6%B5%81%E6%B0%B4%E4%B8%8E%20FP8%20%E5%8A%A0%E9%80%9F%20Hopper%20Attention&amp;url=/archives/flashattention3-hopper-asynchronous-attention" width="1" height="1" alt="" style="opacity:0;">从 Hopper 的 TMA、WGMMA 和 FP8 出发，拆解 FlashAttention-3 如何用 warp specialization、GEMM-Softmax 流水与低误差量化提升精确注意力吞吐。]]></description><guid isPermaLink="false">/archives/flashattention3-hopper-asynchronous-attention</guid><dc:creator>Administrator</dc:creator><category>AI</category><pubDate>Tue, 21 Jul 2026 01:15:00 GMT</pubDate></item><item><title><![CDATA[DCCF 精读：把跨模态冲突当作假新闻证据]]></title><link>http://45.207.215.150:8090/archives/dccf-multimodal-fake-news-detection</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=DCCF%20%E7%B2%BE%E8%AF%BB%EF%BC%9A%E6%8A%8A%E8%B7%A8%E6%A8%A1%E6%80%81%E5%86%B2%E7%AA%81%E5%BD%93%E4%BD%9C%E5%81%87%E6%96%B0%E9%97%BB%E8%AF%81%E6%8D%AE&amp;url=/archives/dccf-multimodal-fake-news-detection" width="1" height="1" alt="" style="opacity:0;">从事实-情感解耦、动态特征演化与冲突-共识度量出发，拆解 DCCF 的多模态假新闻检测方法、实验结果、复现缺口与结论边界。]]></description><guid isPermaLink="false">/archives/dccf-multimodal-fake-news-detection</guid><dc:creator>Administrator</dc:creator><category>AI</category><pubDate>Mon, 20 Jul 2026 10:53:52 GMT</pubDate></item><item><title><![CDATA[M3 精读：可伸缩视觉 Token 如何加速多模态推理]]></title><link>http://45.207.215.150:8090/archives/matryoshka-multimodal-models-inference-acceleration</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=M3%20%E7%B2%BE%E8%AF%BB%EF%BC%9A%E5%8F%AF%E4%BC%B8%E7%BC%A9%E8%A7%86%E8%A7%89%20Token%20%E5%A6%82%E4%BD%95%E5%8A%A0%E9%80%9F%E5%A4%9A%E6%A8%A1%E6%80%81%E6%8E%A8%E7%90%86&amp;url=/archives/matryoshka-multimodal-models-inference-acceleration" width="1" height="1" alt="" style="opacity:0;">从嵌套视觉 Token、多尺度训练目标与预填充成本出发，拆解 ICLR 2025 的 M3 如何在同一多模态大模型中按需切换推理粒度。]]></description><guid isPermaLink="false">/archives/matryoshka-multimodal-models-inference-acceleration</guid><dc:creator>Administrator</dc:creator><category>AI</category><pubDate>Mon, 20 Jul 2026 07:15:49 GMT</pubDate></item><item><title><![CDATA[BLIP-2 精读：用 Q-Former 接通冻结视觉编码器与大语言模型]]></title><link>http://45.207.215.150:8090/archives/blip2-q-former-multimodal</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=BLIP-2%20%E7%B2%BE%E8%AF%BB%EF%BC%9A%E7%94%A8%20Q-Former%20%E6%8E%A5%E9%80%9A%E5%86%BB%E7%BB%93%E8%A7%86%E8%A7%89%E7%BC%96%E7%A0%81%E5%99%A8%E4%B8%8E%E5%A4%A7%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B&amp;url=/archives/blip2-q-former-multimodal" width="1" height="1" alt="" style="opacity:0;">从 Q-Former、三种表征学习目标与两阶段预训练出发，拆解 BLIP-2 如何用冻结视觉编码器和冻结 LLM 构建多模态模型。]]></description><guid isPermaLink="false">/archives/blip2-q-former-multimodal</guid><dc:creator>Administrator</dc:creator><category>AI</category><pubDate>Mon, 20 Jul 2026 01:15:00 GMT</pubDate></item><item><title><![CDATA[DPO 精读：不用 PPO，如何直接从偏好数据对齐语言模型]]></title><link>http://45.207.215.150:8090/archives/dpo-direct-preference-optimization</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=DPO%20%E7%B2%BE%E8%AF%BB%EF%BC%9A%E4%B8%8D%E7%94%A8%20PPO%EF%BC%8C%E5%A6%82%E4%BD%95%E7%9B%B4%E6%8E%A5%E4%BB%8E%E5%81%8F%E5%A5%BD%E6%95%B0%E6%8D%AE%E5%AF%B9%E9%BD%90%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B&amp;url=/archives/dpo-direct-preference-optimization" width="1" height="1" alt="" style="opacity:0;">从 KL 约束的 RLHF 目标出发，推导 DPO 的闭式策略映射、偏好损失、训练流程、实验边界与复现要点。]]></description><guid isPermaLink="false">/archives/dpo-direct-preference-optimization</guid><dc:creator>Administrator</dc:creator><category>AI</category><pubDate>Sun, 19 Jul 2026 01:15:00 GMT</pubDate></item><item><title><![CDATA[QLoRA 精读：4-bit 量化如何把 65B 微调压进单卡]]></title><link>http://45.207.215.150:8090/archives/qlora-efficient-finetuning</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=QLoRA%20%E7%B2%BE%E8%AF%BB%EF%BC%9A4-bit%20%E9%87%8F%E5%8C%96%E5%A6%82%E4%BD%95%E6%8A%8A%2065B%20%E5%BE%AE%E8%B0%83%E5%8E%8B%E8%BF%9B%E5%8D%95%E5%8D%A1&amp;url=/archives/qlora-efficient-finetuning" width="1" height="1" alt="" style="opacity:0;">从 NF4、双重量化、Paged Optimizer 与全层 LoRA 出发，拆解 QLoRA 的显存账本、训练流程、实验边界和复现要点。]]></description><guid isPermaLink="false">/archives/qlora-efficient-finetuning</guid><dc:creator>Administrator</dc:creator><category>AI</category><pubDate>Sat, 18 Jul 2026 01:15:00 GMT</pubDate></item><item><title><![CDATA[Transformer、ViT 与 CLIP 基础：从三篇代表论文到高频面试题]]></title><link>http://45.207.215.150:8090/archives/transformer-vit-clip-interview-guide</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=Transformer%E3%80%81ViT%20%E4%B8%8E%20CLIP%20%E5%9F%BA%E7%A1%80%EF%BC%9A%E4%BB%8E%E4%B8%89%E7%AF%87%E4%BB%A3%E8%A1%A8%E8%AE%BA%E6%96%87%E5%88%B0%E9%AB%98%E9%A2%91%E9%9D%A2%E8%AF%95%E9%A2%98&amp;url=/archives/transformer-vit-clip-interview-guide" width="1" height="1" alt="" style="opacity:0;">以三篇代表论文为主线，串起 Transformer、Vision Transformer 与 CLIP 的结构、目标和面试高频题。]]></description><guid isPermaLink="false">/archives/transformer-vit-clip-interview-guide</guid><dc:creator>Administrator</dc:creator><category>AI</category><pubDate>Mon, 13 Jul 2026 02:00:00 GMT</pubDate></item><item><title><![CDATA[LLM 技术路线：从 Transformer 到训练、推理与应用]]></title><link>http://45.207.215.150:8090/archives/llm-roadmap</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=LLM%20%E6%8A%80%E6%9C%AF%E8%B7%AF%E7%BA%BF%EF%BC%9A%E4%BB%8E%20Transformer%20%E5%88%B0%E8%AE%AD%E7%BB%83%E3%80%81%E6%8E%A8%E7%90%86%E4%B8%8E%E5%BA%94%E7%94%A8&amp;url=/archives/llm-roadmap" width="1" height="1" alt="" style="opacity:0;">一份系统化 LLM 学习路线，覆盖 Transformer、预训练、SFT、RLHF、RAG、Agent、推理优化、评测和工程项目。]]></description><guid isPermaLink="false">/archives/llm-roadmap</guid><dc:creator>Administrator</dc:creator><category>技术</category><pubDate>Thu, 9 Jul 2026 03:00:00 GMT</pubDate></item><item><title><![CDATA[AI Infra 工程路线：从后端基础到 Agent 平台]]></title><link>http://45.207.215.150:8090/archives/ai-infra-roadmap</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=AI%20Infra%20%E5%B7%A5%E7%A8%8B%E8%B7%AF%E7%BA%BF%EF%BC%9A%E4%BB%8E%E5%90%8E%E7%AB%AF%E5%9F%BA%E7%A1%80%E5%88%B0%20Agent%20%E5%B9%B3%E5%8F%B0&amp;url=/archives/ai-infra-roadmap" width="1" height="1" alt="" style="opacity:0;">一份面向工程同学的 AI Infra 学习路线，覆盖后端基础、RAG、Agent Runtime、模型服务、评测观测、稳定性工程和项目落地。]]></description><guid isPermaLink="false">/archives/ai-infra-roadmap</guid><dc:creator>Administrator</dc:creator><category>技术</category><pubDate>Thu, 9 Jul 2026 02:00:00 GMT</pubDate></item><item><title><![CDATA[从零实现多模态 RAG：BM25、Dense 检索、RRF 融合、MMR 重排全部手写]]></title><link>http://45.207.215.150:8090/archives/multimodal-rag-from-scratch</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=%E4%BB%8E%E9%9B%B6%E5%AE%9E%E7%8E%B0%E5%A4%9A%E6%A8%A1%E6%80%81%20RAG%EF%BC%9ABM25%E3%80%81Dense%20%E6%A3%80%E7%B4%A2%E3%80%81RRF%20%E8%9E%8D%E5%90%88%E3%80%81MMR%20%E9%87%8D%E6%8E%92%E5%85%A8%E9%83%A8%E6%89%8B%E5%86%99&amp;url=/archives/multimodal-rag-from-scratch" width="1" height="1" alt="" style="opacity:0;">用纯 NumPy 手写 BM25、Dense 检索、RRF 融合和 MMR 重排，构建可评测的多模态 RAG。]]></description><guid isPermaLink="false">/archives/multimodal-rag-from-scratch</guid><dc:creator>Administrator</dc:creator><category>AI</category><pubDate>Tue, 30 Jun 2026 10:00:00 GMT</pubDate></item><item><title><![CDATA[从零实现 LLM 推理引擎：深挖 vLLM 的六大核心优化]]></title><link>http://45.207.215.150:8090/archives/mini-llm-engine-from-scratch</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=%E4%BB%8E%E9%9B%B6%E5%AE%9E%E7%8E%B0%20LLM%20%E6%8E%A8%E7%90%86%E5%BC%95%E6%93%8E%EF%BC%9A%E6%B7%B1%E6%8C%96%20vLLM%20%E7%9A%84%E5%85%AD%E5%A4%A7%E6%A0%B8%E5%BF%83%E4%BC%98%E5%8C%96&amp;url=/archives/mini-llm-engine-from-scratch" width="1" height="1" alt="" style="opacity:0;">通过可测试的 Python 实现，讲清 Paged KV Cache、Continuous Batching、Chunked Prefill 等六项推理优化。]]></description><guid isPermaLink="false">/archives/mini-llm-engine-from-scratch</guid><dc:creator>Administrator</dc:creator><category>AI</category><pubDate>Tue, 30 Jun 2026 02:00:00 GMT</pubDate></item><item><title><![CDATA[Kafka 入门：生产者、Broker、消费者和“消费”到底是什么意思]]></title><link>http://45.207.215.150:8090/archives/kafka-producer-broker-consumer</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=Kafka%20%E5%85%A5%E9%97%A8%EF%BC%9A%E7%94%9F%E4%BA%A7%E8%80%85%E3%80%81Broker%E3%80%81%E6%B6%88%E8%B4%B9%E8%80%85%E5%92%8C%E2%80%9C%E6%B6%88%E8%B4%B9%E2%80%9D%E5%88%B0%E5%BA%95%E6%98%AF%E4%BB%80%E4%B9%88%E6%84%8F%E6%80%9D&amp;url=/archives/kafka-producer-broker-consumer" width="1" height="1" alt="" style="opacity:0;">用推荐系统里的用户行为日志为例，讲清楚 Kafka 的作用、Producer、Broker、Consumer、Topic、Partition、Offset 和消费语义。]]></description><guid isPermaLink="false">/archives/kafka-producer-broker-consumer</guid><dc:creator>Administrator</dc:creator><category>技术</category><pubDate>Mon, 8 Jun 2026 16:00:00 GMT</pubDate></item><item><title><![CDATA[链表与缓存高频题：LRU Cache、合并 K 个有序链表、反转链表]]></title><link>http://45.207.215.150:8090/archives/leetcode-lru-merge-k-reverse-list</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=%E9%93%BE%E8%A1%A8%E4%B8%8E%E7%BC%93%E5%AD%98%E9%AB%98%E9%A2%91%E9%A2%98%EF%BC%9ALRU%20Cache%E3%80%81%E5%90%88%E5%B9%B6%20K%20%E4%B8%AA%E6%9C%89%E5%BA%8F%E9%93%BE%E8%A1%A8%E3%80%81%E5%8F%8D%E8%BD%AC%E9%93%BE%E8%A1%A8&amp;url=/archives/leetcode-lru-merge-k-reverse-list" width="1" height="1" alt="" style="opacity:0;">面试高频算法题速记，整理 LRU Cache、合并 K 个有序链表、反转链表的核心思路、复杂度和 C++ 代码。]]></description><guid isPermaLink="false">/archives/leetcode-lru-merge-k-reverse-list</guid><dc:creator>Administrator</dc:creator><category>技术</category><pubDate>Mon, 8 Jun 2026 16:00:00 GMT</pubDate></item><item><title><![CDATA[高并发限流算法：固定窗口、滑动窗口、漏桶与令牌桶]]></title><link>http://45.207.215.150:8090/archives/high-concurrency-rate-limiting-algorithms</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=%E9%AB%98%E5%B9%B6%E5%8F%91%E9%99%90%E6%B5%81%E7%AE%97%E6%B3%95%EF%BC%9A%E5%9B%BA%E5%AE%9A%E7%AA%97%E5%8F%A3%E3%80%81%E6%BB%91%E5%8A%A8%E7%AA%97%E5%8F%A3%E3%80%81%E6%BC%8F%E6%A1%B6%E4%B8%8E%E4%BB%A4%E7%89%8C%E6%A1%B6&amp;url=/archives/high-concurrency-rate-limiting-algorithms" width="1" height="1" alt="" style="opacity:0;">面试和工程都常见的限流算法总结，讲清楚固定窗口、滑动窗口、漏桶、令牌桶、并发数限制以及分布式限流如何落地。]]></description><guid isPermaLink="false">/archives/high-concurrency-rate-limiting-algorithms</guid><dc:creator>Administrator</dc:creator><category>技术</category><pubDate>Mon, 8 Jun 2026 16:00:00 GMT</pubDate></item><item><title><![CDATA[MedDocOCR-Interpreter 源码导读：医疗文档 OCR、结构化抽取与报告解读原型]]></title><link>http://45.207.215.150:8090/archives/meddococr-interpreter-source-analysis</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=MedDocOCR-Interpreter%20%E6%BA%90%E7%A0%81%E5%AF%BC%E8%AF%BB%EF%BC%9A%E5%8C%BB%E7%96%97%E6%96%87%E6%A1%A3%20OCR%E3%80%81%E7%BB%93%E6%9E%84%E5%8C%96%E6%8A%BD%E5%8F%96%E4%B8%8E%E6%8A%A5%E5%91%8A%E8%A7%A3%E8%AF%BB%E5%8E%9F%E5%9E%8B&amp;url=/archives/meddococr-interpreter-source-analysis" width="1" height="1" alt="" style="opacity:0;">从 OCR、版面恢复、字段归一化到安全解读，梳理医疗文档多模态原型的完整流水线。]]></description><guid isPermaLink="false">/archives/meddococr-interpreter-source-analysis</guid><dc:creator>Administrator</dc:creator><category>技术</category><pubDate>Fri, 22 May 2026 02:30:00 GMT</pubDate></item><item><title><![CDATA[六级写作范文背诵包：10 个高频话题]]></title><link>http://45.207.215.150:8090/archives/cet6-writing-model-essays</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=%E5%85%AD%E7%BA%A7%E5%86%99%E4%BD%9C%E8%8C%83%E6%96%87%E8%83%8C%E8%AF%B5%E5%8C%85%EF%BC%9A10%20%E4%B8%AA%E9%AB%98%E9%A2%91%E8%AF%9D%E9%A2%98&amp;url=/archives/cet6-writing-model-essays" width="1" height="1" alt="" style="opacity:0;">10 个六级写作高频话题范文，使用可复用的三段式结构并配套打印版 PDF。]]></description><guid isPermaLink="false">/archives/cet6-writing-model-essays</guid><dc:creator>Administrator</dc:creator><category>学习笔记</category><pubDate>Wed, 20 May 2026 01:00:00 GMT</pubDate></item><item><title><![CDATA[Claude Code 上下文管理：请求前减负、Auto Compact 与应急恢复]]></title><link>http://45.207.215.150:8090/archives/claude-code-context-management</link><description><![CDATA[<img src="http://45.207.215.150:8090/plugins/feed/assets/telemetry.gif?title=Claude%20Code%20%E4%B8%8A%E4%B8%8B%E6%96%87%E7%AE%A1%E7%90%86%EF%BC%9A%E8%AF%B7%E6%B1%82%E5%89%8D%E5%87%8F%E8%B4%9F%E3%80%81Auto%20Compact%20%E4%B8%8E%E5%BA%94%E6%80%A5%E6%81%A2%E5%A4%8D&amp;url=/archives/claude-code-context-management" width="1" height="1" alt="" style="opacity:0;">基于源码区分请求前优化、高水位压缩和 API 报错恢复，厘清 Microcompact、Full Compact 与 Auto Compact 的关系。]]></description><guid isPermaLink="false">/archives/claude-code-context-management</guid><dc:creator>Administrator</dc:creator><category>技术</category><pubDate>Tue, 19 May 2026 02:00:00 GMT</pubDate></item></channel></rss>