Training an LLM-RecSys Hybrid for Steerable Recs with Semantic IDs
Read OriginalThis technical article details the process of creating a hybrid model that combines a language model with a recommender system using Semantic IDs. It explains how extending an LLM's vocabulary with semantic tokens and training on user behavior sequences enables a single model to generate recommendations and be steered via natural language conversation, offering reasoning and explanations.
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