Semantic Kernel is an open-source SDK by Microsoft that integrates Large Language Models (LLMs) with conventional programming. It enables you to build AI agents and applications that combine AI ...

Microsoft yesterday announced the general availability of Semantic Kernel for Python and Java, advancing the open source AI integration SDK that is a key component of the company's Copilot stack of AI ...

Microsoft has been busy updating its recently open sourced internal incubation project called Semantic Kernel, an SDK that lets developers mix conventional programming languages with the latest in ...

Semantic Kernel is a model-agnostic SDK that empowers developers to build, orchestrate, and deploy AI agents and multi-agent systems. Whether you're building a simple chatbot or a complex multi-agent ...

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 ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

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 ...

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.