博客园_长路
-
1
基于LLM技术进行Webshell模拟请求流量生成技术研究 - 郑瀚
-
2
幸福的原理 - 郑瀚
-
3
AI Agent开发框架初探 - 郑瀚
-
4
AI Agent工程化迭代指导及其设计模式的调研 - 郑瀚
-
5
网络安全智能助手：产品边界&形态定义、技术路线思考 - 郑瀚
-
6
如何有效地评估待用于微调的样本质量 - 郑瀚
-
7
认知提升的方法 - 郑瀚
-
8
关于农业种植的若干思考 - 郑瀚
-
9
交互式应用安全测试（Interactive application security testing IAST） - 郑瀚
-
10
LLM Self-Attention Visualization研究 - 郑瀚
疲惫娇娃 CyberPink
-
1
090 | 绝望写手还是绝美忘年恋我自有判断 Hacks: When Your Work Wife Takes Over Your Life
-
2
089｜夏末氛围检查：大脑空空，只剩看球 2026 Summer Sports Vibe Check
-
3
088｜奥德赛：抱着必须回家的决心于是这样做了 The Odyssey and the man that really needs to go home
-
4
087 | 情感价值 & 左撇子女孩：不长嘴的父母，被困住的女儿 Sentimental Value, Left-Handed Girl, and the Family Trauma Plot
-
5
086 | Sameroom播客节特辑：2026流行文化Vibe Check 2026 Vibecession Vibecheck
-
6
085 | 匹兹堡医护前线：在坑底俯瞰失灵的美国医疗与不灭的人性 How The Pitt captured the failure of American Healthcare in 2026
-
7
035 | 「坠楼的审判 」：老公你安心地走吧 Anatomy of a Fall
-
8
036 | Taylor Swift的时代和我们的青春 Modern Girlhood through Taylor Swift and Her Eras
-
9
037｜垫底俱乐部 Bottoms：一场酣畅淋漓的Y2K校园“发烧梦” A Gen Z High School Fever Dream
-
10
038｜和2023年底的脆弱时刻一同步入新年 Striding into the New Year with 2023's Fragile Moments
SiliconANGLE
-
1
How agents are stoking new interest in a 40-year-old database
-
2
The hidden tax on enterprise AI: Why data architecture is the ROI problem nobody budgeted for
-
3
Signed data pioneer SignSplit launches with $400M to help everyone get paid for their AI contributions
-
4
Dell’s AI Data Platform gets a knowledge graph for agents and faster Nvidia processing
-
5
Precisely launches unified AI data platform and AI Studio library of agents and apps
-
6
Database startup Supabase raises $150M, acquires Turso
-
7
Cloudflare moves into analytics workloads with a serverless alternative to dedicated data infrastructure
-
8
Gong adds auto-enrichment and event-driven agents to its revenue intelligence platform
-
9
AWS embeds DuckDB in its PostgreSQL DBMS to speed queries of live and historical data
-
10
Komprise combats ‘MCP bloat’ with a universal interface for AI agents to access enterprise data
Blog Archives • David Stutz
-
1
FAQ for our Monte Carlo Conformal Prediction
-
2
The Importance of Effectively Experimenting in an AI PhD
-
3
Thinking About Research Ideas vs. Technology
-
4
Open-Sourcing Relabeled MedQA and Dermatology DDx Datasets
-
5
Thoughts and Lessons for Planning Rater Studies in AI
-
6
Thoughts on Watermarking AI-Generated Content
-
7
Some Lessons on Reviews and Rebuttals
-
8
RAISE 2025 Panel Statement on Aligning AI to Clinical Values
-
9
AI Evaluation is Becoming an Exciting Standalone Discipline
-
10
Domain-Specific AI Should Focus on Workflows Rather Than Modeling