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 ...

As AI matures, agents are one of the most significant areas of development, and Microsoft's Semantic Kernel AI dev tooling is getting them as an experiment for now. Agents go beyond the initial model ...

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 ...

Microsoft shipped the first beta of its Semantic Kernel SDK for AI development, in the process making it service-agnostic by removing OpenAI-specific code. Semantic Kernel acts like an AI ...

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 ...

Microsoft’s multi-agent framework, AutoGen, acts as the backbone for many enterprise projects, particularly with the release of AutoGen v0.4 in January. However, the company aims to harmonize all of ...