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HUM AI

A systems-level view of distributed training: parallelism, communication, and constraints

Jul 14, 2026 · 7 min read · 3 claps #distributed-systems #machine-learning-systems #deep-learning

“Why is this so slow?” My colleague was frustrated. We work at the same company, and he was building a RAG system with a local LLM running…

May 24, 2026 · 9 min read · 3 claps #mlsys #machine-learning-systems #llm-inference

What feature stores actually solve, where they break, and why most teams don’t need one yet

Apr 06, 2026 · 7 min read · 2 claps paywalled #mlops #feature-store #data-engineering

A feature store plays a critical role in improving the scalability, consistency, and efficiency of AI and machine learning systems. As…

Mar 09, 2026 · 2 min read · 0 claps #data-science #ai-scalability #ai

A structural analysis of interaction lock-in, behavioral attractors, and the systemic homogenization of modern large language models

Jan 28, 2026 · 3 min read · 0 claps #llm-alignment #ai-behavior #machine-learning-systems

HUM AI

There are various issues after deploying the machine learning systems into production. In this blog, you will read some of the challenges…

Apr 03, 2024 · 2 min read · 1 claps #development #challenges-in-development #machine-learning