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2026

Jun 08【AI】Early Termination Collapse in Agentic RL
May 15【AI】GRPO Robust Reward Normalization
May 14【AI】Rubrics in CoT
Apr 07【AI】DPO实战Sharing
Apr 07【AI】小红书workflow
Feb 18【AI】Qwen3.5的野心很大
Feb 02【AI】Qwen端侧Agent
Jan 08【AI】GPT RL Issue

2025

Dec 13【Blog】2025-12 Daily logs
Oct 31【AI】RL的本质
Oct 28【AI】RL的本质
Oct 16【Blog】2025-10 Daily logs
Sep 24【AI】Qwen3-VL结合代码详解
Sep 05【阅读】理财第一课
Sep 05【阅读】思维框架
Sep 05【AI】最近RL的一些发展
Aug 25【AI】Ovis-2.5 细节深挖
Aug 19【AI】RL到底怎么涨点？
Jun 14【AI】小米MiMo大模型 - 做好数据，全是细节
May 28【AI】Qwen3 - 基模搞得好，变现少不了
May 13【AI】看完Seed-1.5-VL技术报告，立刻可尝试的几件事
Apr 22【AI】多模态大模型在医疗中的应用
Apr 22【AI】RL给不了新知识，只是激发了Base Model的能力罢了
Mar 02【AI】OmniAlign - 上海Ai Lab的VLM工作
Mar 02【AI】OmniAlign - 上海Ai Lab的VLM工作
Feb 07【Blog】李飞飞最新模型S1给我们哪些思考？
Feb 07【Blog】Deepseek R1 Sharing
Feb 07【Blog】Deepseek R1 Sharing
Feb 07【Blog】Deepseek R1的开源蒸馏数据梳理
Feb 06【Blog】有什么试图复现R1的工作？效果如何？
Feb 02【Blog】Deepseek完整版介绍
Feb 01【Blog】Deepseek没写的技术细节 - part2
Feb 01【Blog】Deepseek没写的技术细节
Jan 04【Blog】2024大模型年终总结

2024

Dec 17Binary Loss
Dec 12【AI】The Advancement of Vision Encoders in VLMs
Sep 25【AI】VLLM Survey
Aug 26【AI】MiniCPM-V：端侧图像大模型
Aug 26【AI】大模型训练方法汇总
Aug 26【AI】MiniCPM-V：端侧图像大模型
Aug 24【AI】UMT - Video foundation model建模
Aug 21【AI】No free launch：Guided Generation 严重降低推理能力
Aug 20【AI】No free launch：Guided Generation 严重降低推理能力
Aug 19【AI】输出如何严格按照格式？Guided Generation
Aug 14【AI】防止OOM的利器：Gradient checkpointing & Gradient Accumulation
Aug 12【AI】Flash Attention - 两倍速你的训练过程
Jul 28【AI】RoPE - Roformer
Jul 28【AI】Pretrain的Scaling law是什么
Jun 03【AI】Vision Transformer
Jun 01【AI】Why attention, why transformer
May 24【AI】The Platonic Representation Hypothesis
May 19【AI】Make A Scene - Meta的T2I核心解析
May 19【AI】VQ-VAE
May 19【AI】Variational Auto Encoder
May 18【AI】Chameleon - Meta全模态大模型
May 16【AI】GPT-4o详解
May 16【AI】MiniGPT-4详解
May 11【AI】Internlm-xcomposer 2
May 08【AI】Mixed Precision Training
Apr 28【AI】Deepspeed Training
Apr 26【AI】智谱AI
Apr 18【AI】LLaVA Multiple Images Training Code
Apr 06【AI】LLaVA Multiple Images SFT
Mar 31【AI】LLaVA MS Research
Mar 27【AI】BLIP-2 Salesforce
Mar 13【AI】Flamingo
Feb 28【AI】CLIP
Jan 29【AI】多模态总结
Jan 29【AI】Decoder-only Transformer
Jan 27【AI】Encoder-only Transformer
Jan 23【AI】SFT，FT，和Multi-task Prompt Tuning还没分清吗
Jan 23【AI】Encoder-decoder Transformer
Jan 21【AI】元能力探索：监督微调的能力
Jan 15【AI】大模型算法如何避免成为Prompt Engineer和数据清洗师

2023

Nov 24【AI】Scaling multimodal understanding to long videos
Nov 03【AI】LLM Learning
Oct 28【AI】LLM Prompting
Oct 28【AI】LLM Agents
Oct 16【Blog】First Principle
Oct 16【Blog】工作一些简单思考（一）
Oct 15【AI】LLM RLHF
Oct 12【AI】Multi-Modality Learning
Oct 08【AI】LLM RL Modeling
Oct 08【Blog】Structural Thinking
Oct 06【AI】Reinforcement Learning
Jun 08【AI】06/07 Github Trending
Jun 08【AI】LLM Deep Dive
May 10Ai Home
May 08【AI】LLM Thoughts
Apr 18【Basics】Useful Prompts
Jan 10【阅读】The Tyranny of Merit. 傲慢的精英
Jan 06【阅读】kknmd house
Jan 04【Basics】Graphx

2022

Dec 31【阅读】Algorithms to Live By
Dec 31【Blog】年度回顾
Dec 26【Basics】Functional Programming
Dec 23【Big-Data】Scala
Dec 01【Basics】Git Rebase
Oct 24【Big-Data】Flink开发总结
Oct 24【Big-Data】Java Maven
Oct 11【Big-Data】实时数仓架构设计
Sep 19【Big-Data】Lateral View多列转多行
Sep 07【阅读】提问的艺术：为什么你应该这样问
Sep 06【阅读】被讨厌的勇气
Sep 05【阅读】这本书能让你睡得好
Sep 02【阅读】小米创业思考
Aug 30【Big-Data】Scala
Aug 29【博客】成为专家
Aug 24【博客】Multi-tasking
Jul 18【博客】Thoughts 1
Jul 17【Web3】Web3 Concepts
Jul 17【Web3】麦肯锡元宇宙研究报告精读解析
Jul 14Web3 Learning
Jul 01【ES】 Elastic Search
Jul 01【博客】Threads
Jun 27【博客】【复盘】2022/06 工作反思
Mar 12【博客】【复盘】2022/3/6 - 2022/3/11工作反思
Mar 11【博客】前Facebook PET分享感想
Mar 08【Basic】 Makefile Basics
Mar 07【Golang】 Golang Microservice Structure
Mar 02【AI】Deep Learning Argot
Mar 02【博客】【复盘】2022/2/28 - 2022/3/4工作反思
Mar 01【Big-Data】框架和概念学习
Feb 26【博客】【复盘】2022/2/21 - 2022/2/26工作反思
Feb 25【AI】ML Basic Knowledge
Feb 22【博客】【阅读】向上汇报
Feb 19【博客】【复盘】2022/2/14 - 2022/2/18工作反思
Feb 17【博客】个人决策思考
Feb 08【博客】【阅读】最重要的事只有一件
Feb 06【Algo】Coding Interview
Jan 28【AI】控制算法
Jan 24【博客】【阅读】思考，快与慢
Jan 02【博客】【复盘】2021年回顾和2022年的一些想法
Jan 02【博客】【阅读】Emotional Intelligence

2021

Dec 27【Big-Data】数据库基础知识
Dec 23【博客】读博前后的一些感想
Dec 17【Golang】Golang Slice解析
Dec 10【Ad】广告系统基础知识
Dec 09【Big-Data】数据库基础知识
Dec 07【AI】LSTM+CNN详解
Dec 07【AI】WMAPE详解
Dec 07【AI】Item2Vec详解
Dec 07【Golang】Golang Map并发编程
Dec 07【Golang】Goroutine截获输出和错误
Dec 07【Golang】Service mesh详解
Dec 06【AI】ESMM CVR预测详解
Dec 06【AI】One-hot Vector实例
Dec 06【Golang】Golang语言基础（面经）
Dec 05【AI】Cross Entropy Loss详解
Dec 05【AI】DSMM Item-based系统过滤
Dec 05【AI】Logistic Regression详解
Dec 05【AI】Wide&Deep Item-based content retrieval(基于内容的协同过滤)
Dec 01【AI】GBDT(Gradient Boosting Decision Tree)详解
Dec 01【AI】Unigram Distribution(NLP中常用)
Nov 25【AI】Arima模型详解
Nov 21【AI】Term-Vector含义
Nov 20【AI】Softmax函数
Nov 19【Ad】Recommendation System Overview(推荐系统详解)

2018

Jul 01Welcome
Jun 01Post with Header Image

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