The new API is designed to speed up the agent development and testing process so agents can be deployed in production faster. As enterprise demand for building multi-agent systems continues to grow, ...

The Federal Chief Data Officers Council is looking for information on synthetic data generation as it works to establish best practices, according to a solicitation posted Thursday. The request for ...

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Synthetic data generation has emerged as a crucial technique for addressing various challenges, including data privacy, scarcity and bias. By creating artificial data that mimics real-world datasets, ...

Whether AI developers scrape or license data, each approach poses challenges for content rights holders and AI companies Sophisticated systems capable of generating high-quality synthetic data can ...

Microsoft Corp. has developed a small language model that can solve certain math problems better than algorithms several times its size. The company revealed the model, Phi-4, on Thursday. The ...

Research on rare diseases and atypical health care demographics is often slowed by high interparticipant heterogeneity and overall scarcity of data. Synthetic data (SD) have been proposed as means for ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Last year, FICO decided to do something about it. My team and I devised an analytic ...

Adaptive workflow systems represent a significant departure from rigid, process-centric approaches. Instead of imposing a linear, step-by-step structure, teams will be able to dynamically assign and ...

Conditional generation in AI and ML is the process of creating outputs based on specific conditions or constraints once inputs are given. In the context of AI and machine learning, conditional ...