Faster recommendations with user-item features: MySQL HeatWave's two-tower model
Blog post on the two-tower model in MySQL HeatWave AutoML, leveraging user and item features for faster, more accurate recommendations.
Work
Currently I work within the MySQL AI X team, deploying Generative AI solutions across the MySQL service. There, I built the integration of LLMs (OpenAI, Meta, Cohere) with the MySQL Database Service. Before that, I led Large Language Model and Generative AI deployment in the MySQL HeatWave cloud service, covering in-database LLM inference, RAG, vector search, and HeatWave AutoML recommendation systems. Selected talks and write-ups below; full timeline in the CV.
Announcing the General Availability of HeatWave GenAI
Announcement of the general availability of HeatWave GenAI: in-database LLMs, an automated in-database vector store, scale-out vector processing, and natural-language conversations with unstructured data.
Machine learning with recommender system models in MySQL Heatwave AutoML
Blog post on how to use Recommender system in MySQL Heatwave AutoML.
Demo: Recommender system with MySQL HeatWave AutoML
Demo live of Recommender Systems in MySQL Heatwave AutoML
MySQL Heatwave AutoML technical brief
Overview of features and enhancements included in HeatWave AutoML.
