AI; he uses AI tools regularly and sees potential in many of those tools as useful plugins or cool new apps. But he is ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Erik Steiger discusses the operational pain ...

Learn prompt engineering with this practical cheat sheet that covers frameworks, techniques, and tips for producing more accurate and useful AI outputs. Every day, millions of people type something ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Is your generative AI application giving the responses you expect? Are there less expensive large language models—or even free ones you can run locally—that might work well enough for some of your ...

[This repository accomponanies the Trace paper. It is a fully functional implementation of the platform for generative optimization described in the paper, and contains code necessary to reproduce the ...

Streamlit lets you write web-based Python data applications without HTML, CSS, or JavaScript. Here's a first look at Streamlit. A common problem with Python applications is how to share them with ...

Dr. James McCaffrey of Microsoft Research demonstrates how to fetch and prepare MNIST data for image recognition machine learning problems. Many machine learning problems fall into one of three ...