This content is a summary of an article published on Towards AI by author Zoumana Keita. The article discusses leveraging large language models, state-of-the-art text and speech analytics tools, and vector databases to create an end-to-end audio recommendation solution. The article emphasizes the overwhelming amount of audio content available and the need for personalized recommendations. The full blog can be accessed on Medium.

source update: How I Built A Video Recommendation System Using Large Language… – Towards AI