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2025年度回顾:LLM与推荐系统融合的进展与个人成长
原标题:2025 Year in Review
AI 摘要
Eugene Yan在2025年回顾中总结了他在推荐系统与LLM结合方面的研究,包括撰写6篇技术文章、开发4个原型应用,并晋升为首席应用科学家。他的文章《Improving RecSys & Search in the Age of LLMs》获得广泛关注,受邀在AI Engineer World's Fair主持首个LLM×RecSys专场。此外,他注意到网站搜索点击量下降,推测与Google AI Overviews或agentic流量有关。
以上摘要由 AI 生成,可能存在误差。事实请以原文为准。
正文节选
2025 was an eventful year of progress. I doubled down on my health, had some pleasant career surprises, and my wife and I made time for two vacations. ✅ Write 6 substantive pieces: Before 2023, most of my technical writing focused on RecSys. In 2023 - 2024, this shifted towards applying LLMs. In 2025, I worked to bridge these two interests, starting with a deep dive on Improving RecSys & Search in the Age of LLMs, and then following up with a walkthrough on finetuning an LLM-RecSys Hybrid for St
发布时间:2025-12-14 08:00
抓取时间:2026-08-02 00:25
来源机构:Eugene Yan