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AI Engineer 2025 - Improving RecSys & Search with LLM techniques

Eugene Yan 4 June 2025, 00:00

Ziyou Yan hosted the RecSys track at AI Engineer World's Fair 2025 in San Francisco, focusing on applying LLM techniques to recommendation systems and search. The event included opening slides and a full YouTube recording of the track. Developers and practitioners can now access resources on integrating language models into RecSys and search applications.

Why it matters

Recsys & search are converging with LLMs via semantic IDs, data augmentation, and unified foundation models.

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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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AI Engineer 2025 - Improving RecSys & Search with LLM techniques

Why it matters

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Every AI story that matters, in your inbox by 8am.

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