The page is dead. Long live the stack. Here's how vector databases, embeddings, and Reciprocal Rank Fusion have changed the ...

How can we narrow the knowledge gap between AI “experts” and the variety of people who use, interact with, and are impacted by these technologies? How do we harness the potential of AI systems while ...

A variety of machine learning (ML) algorithms are being used to predict liver diseases. We recommend employing Logistics Regression (LR), Naive Bayes Model (NB), K-Nearest Neighbor (Knn) in this ...

These predictive models are built using a dataset on chronic kidney disease with 14 attributes and 400 records to choose the best classifier for predicting chronic kidney illness. The dataset was ...

SST v3 uses a new engine for deploying SST apps. It uses Pulumi and Terraform, as opposed to CDK and CloudFormation. Read the full announcement here.