Machine Learning

Unlocking the Power of Retrieval-Augmented Generation: Best Practices for Smarter AI Systems | by Jar Us | Jan, 2025

In the ever-evolving world of artificial intelligence, one of the most exciting advancements is the development of Retrieval-Augmented Generation (RAG) systems. These systems...

Zero-Shot Player Tracking in Tennis with Kalman Filtering | by Derek Austin | Jan, 2025

Automated tennis tracking without labels: GroundingDINO, Kalman filtering, and court homographyIn summary, this project demonstrates how we can use GroundingDINO’s zero-shot capabilities to...

Reimagining Fleet Safety in a Changing Industry | by Suryakant Kaushik | Jan, 2025

Fleet safety is a critical priority for the transportation and logistics industry. As operations expand and regulatory requirements grow more complex, the need...

How to Log Your Data with MLflow. Mastering data logging in MLOps for… | by Jack Chang | Jan, 2025

Setting up an MLflow server locally is straightforward. Use the following command:mlflow server --host 127.0.0.1 --port 8080Then set the tracking URI.mlflow.set_tracking_uri("http://127.0.0.1:8080")For more advanced...

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