Insightful Data Analysis for Your Business

Mauro Di Pietro discusses building AI agents with open-source tools, bridging theory and practice, and why he’s still nostalgic for […]

LLM or custom model: how should you choose the right solution? The post Do You Really Need a Foundation Model?

When numbers lie — and your metrics mislead you The post How Metrics (and LLMs) Can Trick You: A Field

Learn how to make your LLM applications more robust The post How to Ensure Reliability in LLM Applications appeared first

Using the Elastic Beanstalk service The post Deploy a Streamlit App to AWS appeared first on Towards Data Science.

Using optimal transport to weight what matters most In LLM-generated responses The post From Equal Weights to Smart Weights: OTPO’s

How to save time and boost your models with these two approachable AutoML libraries. The post Automating Deep Learning: A

A practical guide to connecting and coordinating multiple AI agents. The post The Future of AI Agent Communication with ACP appeared

A 40-Year Look at Data, Business Models, and the Forces Shaping Intelligent Systems The post What Can the History of

A deep dive into advanced evaluation for data scientists The post Accuracy Is Dead: Calibration, Discrimination, and Other Metrics You