AI LLM · Tech Practice · Independent Exploration
Code goes obsolete.
Thinking doesn't.
Sharing AI development notes and technical practice — written from lessons
I learned the hard way, so you don't have to.
108 posts · 675.6k words total · updated for 21 months
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Multi-Agent Driving, Wine-Domain Benchmarking, and Causal Evidence Synthesis
8 selected AI/ML papers covering AI, CL, LG, CV, CR, MA, stat.ME, stat.ML and more
深度 | 读 13 分钟 | 6016 字 | -
Reinforcement Learning Frontiers, UAV Vision, and LLM Reasoning Efficiency
8 selected AI/ML papers covering LG, eess.SP, AI, CL, CV, stat.ML, math.ST, quant-ph, IR, RO and more
深度 | 读 17 分钟 | 7488 字 | -
Agents, Safety, Reasoning, and Data Design: New Frontiers in AI Systems
8 selected AI/ML papers covering LG, AI, CL, CV, CR, SE, MA, RO, HC and more
深度 | 读 15 分钟 | 6839 字 | -
Survival Prediction, LLM Reasoning & Attribution, and Embodied Agent Risks
8 selected AI/ML papers covering AI, LG, CL, CV, RO, stat.ML, stat.AP, CR, SE and more
深度 | 读 15 分钟 | 6732 字 | -
Benchmarking LLMs Across Radar Sensing, Code Contamination, and Manipulation Control
8 selected AI/ML papers covering AI, LG, CV, CL, RO, CY, CR, SE, stat.ML and more
深度 | 读 15 分钟 | 6817 字 |