Imagined Dragons: Building an Imagination-Powered Music Recommendation Platform
summary
Shows how to build an open-source music recommendation/mixtape system by combining large language models with external knowledge and tools. Covers prompt engineering techniques, managing chatbot memory, and creating tooling that lets LLMs generate curated mixtapes without relying on proprietary, expensive models.
AI-written summary · about
related talks
30mBuilding Robust, Secure LLM and Agentic AI Workflows
23mIntelligence as a Material
32mHarmonizing AI and Graphs: Building Intelligent Music Apps with Neo4j and AI
57mHands-On with LLM-Powered Recommenders: Hybrid Architectures
01h 14mBuilding a Recommendation System with a Hybrid Search From Scratch
29mBuilding Generative Content Understanding Systems
01h 30mBuilding Your First Multimodal Gen AI App 🚀
10mCritiquing for Music Exploration in Conversational Recommender Systems