RAG in 2025: State of the Art and the Road Forward
Автор: AI Council
Загружено: 2025-05-29
Просмотров: 1113
[2025 - Day 1 - AI Engineering] Tengyu Ma shares insights from advancing Retrieval-Augmented Generation beyond current brittleness, exploring how improvements in embedding models and rerankers are creating more robust, scalable solutions. For engineers working with RAG pipelines, this talk offers valuable perspectives on moving away from heuristic-heavy approaches toward automated solutions that deliver higher-quality, more relevant results with less manual optimization.
ABOUT THE SPEAKER:
Tengyu Ma, Co-Founder & CEO, Voyage AI
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