LLM容忍非确定性，但医疗、自动驾驶等关键领域能否也容忍？一场关于ML训练确定性要求的深入讨论。
Hey, I was wondering whether the tech industries require deterministic ML training or is non-determinism acceptable? As in, I know in case of LLMs, sm…
AI产品成败在信任：从开发者视角拆解可解释性架构，让非确定性行为变得可理解。
When I first started exploring AI products, I focused on prompts, models, and response quality. Recently, I came across another concept that feels jus…
自主AI系统行为不可预测，传统监控失效，本文揭示了如何通过可观测性深入洞察其内部运作。
Monitoring and Observability for Autonomous AI Systems Autonomous AI systems—from self-driving cars to algorithmic trading bots and robotic process au…
AI基础设施的集体认证新框架，解决非确定性系统的信任难题，为去中心化AI提供语义保障。
arXiv:2606.08021v1 Announce Type: new Abstract: As large language model (LLM) agents are integrated into autonomous cloud operations, distributed syst…
揭秘GPU计算的黑箱，在CPU上精确复现NVIDIA矩阵乘法，解决机器学习非确定性难题。
arXiv:2603.20421v2 Announce Type: replace-cross Abstract: We present Hawkeye, a system for analyzing and reproducing GPU-level arithmetic operations. …