AI content generation is about feeding your AI models with semantic and contextual information. The result is a platform that can ‘understand’ what an item is, and how it should be used. AI creates content using semantic knowledge in any form of content including video, 3d, VR and more.
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Latest Artificial Intelligence Content News
Building a ‘Human-in-the-Loop’ Approval Gate for Autonomous Agents
In agentic AI systems , when an agent’s execution pipeline is intentionally halted, we have what is known as a state-managed interruption .
ProText: A Benchmark Dataset for Measuring (Mis)gendering in Long-Form Texts
We introduce ProText, a dataset for measuring gendering and misgendering in stylistically diverse long-form English texts. ProText spans three dimensions: Theme nouns (names, occupations, titles, kinship terms), Theme category (stereotypically male, stereotypically female, gender-neutral/non-gendered), and Pronoun category (masculine, feminine, gender-neutral, none). The dataset is designed to probe (mis)gendering in text…
Build reliable AI agents with Amazon Bedrock AgentCore Evaluations
Your AI agent worked in the demo, impressed stakeholders, handled test scenarios, and seemed ready for production. Then you deployed it, and the picture changed. Real users experienced wrong tool calls, inconsistent responses, and failure modes nobody anticipated during testing. The result is a gap between expected agent behavior and…
Robotaxi Outage in China Leaves Passengers Stranded on Highways
A suspected system failure froze Baidu’s robotaxis across Wuhan, trapping passengers and reportedly causing traffic disruptions and crashes.