This is going to change databases! There are 1.7 million deployments of PostgreSQL worldwide. This makes it one of the world's most popular relational database management systems. The team behind @postgresml reached out to me and showed me their open-source extension, PostgresML. It's pretty cool! You can use this extension to train a model on text and tabular data using SQL queries. This example trains a model using XGBoost using a query! select * from pgml.train('Handwritten Digit Image Classifier', algorithm => 'xgboost', 'classification', 'pgml.digits', 'target' ); The extension integrates Hugging Face 🤗 Transformers. You can use it to run NLP models right into the database. Here is an example to determine the sentiment of some text: select pgml.transform( task => 'text-classification', inputs => ARRAY[ 'This product didn't work for our family.', 'This has been the best purchase of the year!' ] ) as positivity; I had never seen this before. You can train and run supervised and unsupervised algorithms. You can run pre-trained models. Machine Learning and AI right at the database level! Here is the GitHub repository: github.com/postgresml/postgr… This post is sponsored by @postgresml and their fully managed cloud service. You can use them in addition to their open-source library. Horizontal scalability and support for JavaScript, Python, and Rust. Machine learning is now getting everywhere. How long before this is part of every database management system out there?