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 ...

Abstract: Text semantic extraction has been envisioned as a promising solution to improve the data transmission efficiency with the limited radio resources for the autonomous interactions among ...

Abstract: Complex Text-to-SQL generation remains challenging due to the lack of explicit modeling of hierarchical schema structures and persistent semantic mismatches between natural-language queries ...

Microsoft has made SQL Server 2025 generally available. The latest version of the database focuses on built-in AI functionality and developer improvements. In addition, the release offers improved ...

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 ...

Purpose End-to-end ML lifecycle management and MLOps Unified data analytics and business intelligence platform Unified platform for building and deploying AI solutions Model Deployment Supports ...

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...

LLM application frameworks help by reducing the amount of code you need to write to create an application. The fact that these application frameworks have been designed and coded by experts, tested by ...

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 ...