Recommendation systems with large language models (LLMs) have the potential to solve the cold start problem, which is the challenge of recommending items to users who have not yet interacted with the system. LLMs can learn to represent users and items in a way that captures their latent preferences, even if they have not interacted with the system very much. This allows LLMs to make recommendatio… more