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 ...
Radxa AICore DX-M1M is a compact, low-power M.2 edge AI acceleration module built around the DeepX DX-M1M neural processing unit (NPU) and delivers up to 25 TOPS (INT8) of AI performance while ...
Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...
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 ...
Microsoft Build 2025 is here—our annual showcase of the most exciting innovations shaping the future of development and AI. For engineers, makers, and subject matter experts, it’s the moment to see ...
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 ...
This project use the AI Search service to create a vector store for a custom department store data. We will be using Azure Open AI's text-embedding-ada-002 deployment for embedding the data in vectors ...
Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like GPT-4 ...
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