Since recently introducing the open source Semantic Kernel to help developers use AI large language models (LLMs) in their apps, Microsoft has been busy improving it, publishing new guidance on how to ...

At the heart of Microsoft’s AI application development strategy is Semantic Kernel, an open source set of tools for managing and orchestrating AI prompts. Since its launch as a way to simplify ...

Microsoft this week announced Semantic Kernel, a new open source framework on GitHub at the early preview stage that aims to help developers tap artificial intelligence (AI) and large language models ...

Large language models (LLMs) by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

DataStax, the generative AI data company, is announcing an integration with Microsoft Semantic Kernel—an open-source SDK that simplifies the building of agents with an organization’s existing code.

Microsoft ships Agent Framework 1.0 but Azure's agent stack still spans too many surfaces while Google and AWS offer cleaner developer paths.