Google begins putting the guardrails on agentic AI

Of the three, it’s that last number that is perhaps scariest. These are software agents with access to business systems, customer data, and organizational credentials, yet more than one-third of organizations aren’t confident they...

Amp your Python superpowers with ‘uv run’

uv run --with numpy==2.0 myfile.py What happens under the hood? When you run uv run using --with, uv contacts PyPI and tries to download the requirement...

How to manage Python projects with Poetry

Now you are ready to begin the project in earnest. All you have to remember from this point forward is to use Poetry—and only...

Databricks adds customizable evaluation tools to boost AI agent accuracy

“Enterprises value domain experts’ input to ensure accurate evaluations that reflect unique contexts, business needs, or compliance standards,” said Robert Kramer, principal analyst at...

Stack thinking: Why a single AI platform won’t cut it

When I started integrating AI into my workflows, I was seduced by the promise of “one tool to rule them all.” One login. One...

Making Python faster won’t be easy, but it’ll be worth it

These are just a few of the concepts being implemented, and many more are in the pipeline. What’s clear from this mosaic of techniques...
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Meet DGX Spark and DGX Station

Speaking at GTC 2025 on Tuesday, Nvidia CEO Jensen Huang revealed two new “personal AI supercomputers,” powered by Nvidia’s Grace Blackwell platform. The computers,...
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