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MLOps Community - System Design for RecSys & Search

Eugene Yan 15 September 2021, 00:00

Ziyou Yan gave a talk at the MLOps Community meetup about system design for recommendation systems and search. The talk was recorded in September 2021 and slides were made available. The resource is available for citation and the speaker maintains a newsletter with 11,800 subscribers focused on machine learning and related topics.

Why it matters

An overview of system design, candidate retrieval, and ranking, with industry examples.

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TLDRocket 21 July 2026

The open-weight AI model market hit an inflection point today as Alibaba and Kimi released trillion-parameter competitors that challenge the closed-model orthodoxy—just as Washington moved to restrict them. Alibaba's Qwen 3.8 Max (2.4 trillion parameters) and Kimi K3 (2.8T) are going open-weight, with K3 ranking first on Frontend Web App Arena and fourth on agentic benchmarks, signaling that scale and transparency can coexist. The timing matters: while U.S. policymakers weigh layered restrictions on Chinese open models, technical experts are pushing back hard, arguing that closed gardens actually hurt security and competition more than they help. The real fragmentation risk isn't technical—it's regulatory.

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MLOps Community - System Design for RecSys & Search

Why it matters

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