Feb 16 · 4 min read · I keep catching myself optimizing for the wrong kind of completeness. Ten months into building MirrorDNA, I've established clear patterns: robust error handling over speed hacks, comprehensive policy enforcement across mesh networks, system integrity...
Join discussionDec 6, 2025 · 8 min read · Table of Contents Introduction A Quick Refresher on Bayesian Inference The Variational Inference Idea KL Divergence and the ELBO Where ELBO Shows Up in Practice Why Standard Variational Inference Fails with Outliers Robust Divergences: β and γ...
Join discussionNov 17, 2024 · 3 min read · Arxiv: https://arxiv.org/abs/2411.08248v1 PDF: https://arxiv.org/pdf/2411.08248v1.pdf Authors: Wei Liu, Yongshun Gong, Mingze Ni, Jiyao Li Published: 2024-11-12 Introduction Let's dive into the world of adversarial testing for Question-Answering (Q...
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Jun 5, 2024 · 9 min read · Introduction In the ever-evolving landscape of machine learning, robustness is essential for building models that perform reliably in real-world scenarios. As models are deployed in diverse environments, they face many challenges, including noisy dat...
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May 10, 2024 · 6 min read · In AWS Lambda development, failure management is a crucial aspect to ensure the reliability and robustness of serverless applications. Here's how invocation failures are captured and handled, as well as how functions within distributed transactions h...
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