Browsing: OReilly

This article originally appeared on Medium. Tim O’Brien has given us permission to repost here on Radar.When you’re working with…

A common misconception about O’Reilly is that we cater only to the deeply technical learner. While we’re proud of our…

Generative AI in the Real WorldGenerative AI in the Real World: Emmanuel Ameisen on LLM Interpretability Play Episode Pause Episode…

This is the first of a three-part series by Markus Eisele. Stay tuned for the follow-up posts.AI is everywhere right…

This article is part of a series on the Sens-AI Framework—practical habits for learning and coding with AI.AI gives novice…

We often say AIs “understand” code, but they don’t truly understand your problem or your codebase in the sense that…

The productivity gains from AI tools are undeniable. Development teams are shipping faster, marketing campaigns are launching quicker, and deliverables…

The following was originally published in Asimov’s Addendum, September 11, 2025.Learn more about the AI Disclosures Project here.1. The Rise and Rise of MCPAnthropic’s…

In the rush to get the most from AI tools, prompt engineering—the practice of writing clear, structured inputs that guide…

O’Reilly MediaGenerative AI in the Real World: Faye Zhang on Using AI to Improve Discovery Play Episode Pause Episode Mute/Unmute…