Building HyFD: How We Used MongoDB to Store and Analyse Production ML Failure Logs
By @sourab_reddy_ @siddardha796 @bvishnu_2509 @giridhar_58 — developed under the guidance of @chanda_rajkumar The Problem That Started Everything Here…
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By @sourab_reddy_ @siddardha796 @bvishnu_2509 @giridhar_58 — developed under the guidance of @chanda_rajkumar The Problem That Started Everything Here…
Хуки — это детерминированный код, который выполняется в строго заданных точках жизненного цикла LLM-агента: до и после tool call, на старте сессии, пе…
When discussing AI infrastructure, the conversation almost exclusively revolves around single-node optimization—NVLink bandwidth, PCIe lanes, and GPU …
A single slow GPU – a straggler – in a 1,000-node training cluster idles 999 healthy GPUs at every AllReduce barrier. The job does not crash. There is…
Deploying ML models to production requires more than just a SageMaker endpoint. Here's the 5-layer architecture I use for every ML deployment. Layer 1…
A few months ago, I almost killed a feature. Not because it didn’t work but because improving it felt… impossible. We had an AI system in production. …
Most ML engineers don’t fail because they lack knowledge. They fail because they’re solving the wrong problem. 🚨 The Hard Truth Most ML engineers are …
AI isn’t expensive. Bad AI systems are. 💸 The Illusion: “AI is Cheap Now” With APIs and open-source models, it feels like: Spin up a model Plug in an …
Authors: Sean Rastatter , Rawan Badawi Why do so many enterprises struggle with MLOps? Year after year, the numbers remain stubbornly high: 80%+ of AI…
Secure AI systems require a lifecycle-centric approach where security is embedded across design, development, and deployment. Unlike traditional softw…