Less is More with PostgresML - ML and DB Seminar Series

Explore the integration of machine learning with PostgreSQL databases in this 58-minute seminar talk by Montana Low from PostgresML. Delve into topics such as web applications, microservices, scaling machine learning apps, and applying first principles to ML. Learn about pre-trained models, including RAG, RLHF, and LORA, as well as classical machine learning and transformers. Gain insights into model memory management, benchmarks, and the use of Python and C from Rust. Part of the CMU Database Group's ML⇄DB Seminar Series, this talk offers valuable knowledge for database professionals and machine learning enthusiasts alike.

Intro
Derek Zoolander
Web Applications
Microservices
Scaling Machine Learning Apps
First Principles Applied to ML
Pre-trained models - RAG, RLHF, LORA
Classical Machine Learning
Transformers
Model Memory Management
Benchmarks
Python & C from Rust