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AI Recommendation Systems — Embedding-Based Collaborative Filtering at Scale
Build recommendation systems using embeddings, two-tower models, and solve cold start with hybrid approaches.
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Build recommendation systems using embeddings, two-tower models, and solve cold start with hybrid approaches.
Decide between fine-tuning and RAG with decision frameworks, cost/performance tradeoffs, hybrid approaches, and evaluation metrics like RAGAS and G-Eval.