RUTUBE

Not Everything Needs LLM: Boosting, Embeddings and Rules Win in Production

At the UWDC 2026 conference, experts discussed when tasks are more effectively solved with classical machine learning rather than large language models. Participants agreed that in production, hybrid architectures where rules, ML, and LLMs work together often win, while pure LLMs fall short due to hallucinations, cost, and validation complexity.

Яндекс RUTUBE