2 results about "Context independent" patented technology

Methods, systems, and computer storage media for providing an AI-supported fraud detection engine in an item listing system are described. The M-supported fraud detection engine leverages language models (e. g., LLMs) to interpret unstructured data as language model output (i. e., language model output comprising context-free annotation tags including observations, tags, category, case summary, and reasoning annotations). The language model output (i. e., context-free annotation tags) is mapped to context-aware target tags without explicit tagging (i. e., zero-shot approach) to generate structured domain-specific tags. The zero-shot approach allows the AI-supported fraud detection engine to recognize and categorize new fraud pattems dynamically. The structured domain-specific tags can be integrated into traditional fraud detection models that leverage the insights from the structured domain-specific tags to generate fraud detection recommendations. The Al-supported fraud detection engine's ability to generate fraud detection recommendations based on structured domain-specific tags leads to more targeted and accurate responses to potential fraud cases.

Apparatuses, systems, and techniques to execute CUDA programs. In at least one embodiment, an application programming interface is performed to provide one or more indicators of context information corresponding to one or more kernels. The application programming interface can be used to provide indicators of context information for context-free kernels and context.