From AI-driven security design reviews to workflow analysis, dependency graphing, and runtime detection and response, these ...

Researchers developed a more efficient way to control the outputs of a large language model, guiding it to generate text that adheres to a certain structure, like a programming language, and remains ...

Their method allows an LLM to allocate efforts toward outputs that are most likely to be valid and accurate, while discarding unpromising outputs early in the process. This probabilistic approach ...

Ravi Bommakanti, Chief Technology Officer at App Orchid, leads the company’s mission to help enterprises operationalize AI ...

In Python code generation, for instance, the researchers' architecture enabled a small, open-source model to outperform a specialized, commercial closed-source model that is more than double its size.

The mapping of socio-economic ... to the families and get their consent to ensure accuracy. After the entire process is completed, the head of the family that has been surveyed will get an ...

A playbook for leaders to master AI analytics, overcome scaling hurdles, control costs, empower teams, prove ROI and achieve ...

Before building an AI agent, it is essential to map out the process it will automate. This involves creating a detailed, step-by-step workflow that captures every aspect of the task. A well ...

issued a consultation paper on amendments to Singapore’s Code on Take-overs and Mergers, with the aim of enhancing regulation around such deals. The proposed changes intend to protect the competitive ...