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蒸馏 LLM,不要直接 Serving:DoorDash 搜索与个性化实践 — Raghav Saboo,DoorDash

📌 One-Sentence Summary DoorDash Staff ML 工程师 Raghav Saboo 指出,市场平台发现的本质是语义理解问题,并展示如何将 LLM 推理离线蒸馏为分级监督、Semantic ID、消费者记忆与可驾驭内容生成四类共享原语,让传统检索与排序系统在十亿级条目规模下低成本 Serving。 📝 Summary DoorDash 搜索与个性化团队的 Staff

来源:BestBlogs·AI 高分精选 · www.bestblogs.dev

Distill the LLM, Don't Serve It: Search & Personalization at DoorDash — Raghav Saboo, DoorDash

DoorDash staff ML engineer Raghav Saboo argues that marketplace discovery is a semantic-understanding problem, then shows how DoorDash distills LLM reasoning offline into four shared primitives — graded supervision, semantic IDs, consumer memory, and steerable content generation — so traditional retrieval and ranking systems can serve them cheaply at billion-item scale.