This repository presents best practices and a reference implementation for Memory in specific AI and LLMs application scenarios. Please note that the code provided serves as a demonstration and is not ...
AI agents have fundamentally changed the threat model of AI model-based applications. By equipping these models with plugins (also called tools), your agents no longer just generate text; they now ...
Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...
Semantic Kernel Quick-start is a .NET Web API CRUD Microservice solution with Blazor Copilot-ish Chat client that demonstrates the most basic use cases of the Microsoft Semantic Kernel in a Clean ...
We’re transforming the way we provision virtual labs at Microsoft with AI and continuous improvement. Microsoft Digital stories Providing technical support at an enterprise of our size here at ...
As AI continues to reshape the way developers build applications, Microsoft's Semantic Kernel is emerging as a powerful tool for integrating AI-driven capabilities into existing codebases -- without ...
Large language models 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 a more ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results