AWS addresses the cold-start problem in recommendation systems using Trainium chips and vLLM, employing LLMs to generate interest expansions, encode embeddings, and retrieve via FAISS for improved accuracy. This scalable, cost-effective method boosts metrics like precision and recall. Ongoing innovations promise broader AI applications.