Abstract: Generalized zero-shot learning aims to recognize both seen and unseen classes with the help of semantic information that is shared among different classes. It inevitably requires consistent ...

Workflow is still at the heart of the new framework. Building on the strengths of the Semantic Kernel and AutoGen agent implementations, the new framework offers support for workflow orchestration and ...

When using Function Calls in a Semantic Kernel Prompt Template, and naming an injected KernelArgument to be passed to the function. The argument is converted to a str() by the VarBlock causing the ...

Recent developments in AI highlight vulnerabilities in multimodal models due to semantic prompt injections, urging a shift from input filtering to output-level defenses. The evolution of artificial ...

NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...

Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind content — what it says, how it says it, and whether it truly answers the ...

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI company, announced the availability of its hybrid search capabilities for Microsoft’s Semantic Kernel project, making Elastic’s ...

I have an application using the Microsoft Semantic Kernel. The user is able able to create their own Semantic Kernel Functions using the handlebars format, defining the Temperature and Max Tokens of ...