Artificial Intelligence | News, analysis, features, how-tos, and videos
The new markdown-based format aims to provide structured, natural language workflows for AI agents, addressing unpredictability and maintenance issues seen in earlier approaches.
For AI agents, a knowledge base fuels fast and accurate responses and enables complex reasoning. We asked the experts how to build one.
From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing.
Letting AI churn out an endless supply of crappy code that humans then have to debug and maintain doesn’t move anybody’s business forward.
As genAI takes hold in the enterprise, improvisation is giving way to engineering. Can organizations build the guardrails needed to turn clever prompts into dependable systems?
In our study, a novel SAST-LLM mashup slashed false positives by 91% compared to a widely used standalone SAST tool.
Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data sets.
Microsoft’s latest database is a fast, scalable PostgreSQL for cloud-native and AI developers.
As the big cloud providers prioritize artificial intelligence, they risk leaving traditional cloud technologies—and cloud customers—in the dust.
Agent 365 combines a registry, access control, observability, and security for managing all AI agents, built or acquired, across an enterprise.