The VACC Open OnDemand Jupyter app uses Python version 3.12 and provides only a very limited set of packages. In order to use additional packages in the Jupyter app, we recommend that you create ...

Sub-headline: BUPT researchers introduce SEA-SQL to tackle complex SQL generation via adaptive bias elimination and execution feedback. A significant technical pain point in the Text-to-SQL task is ...

Microsoft says Agent Framework 1.0 is the production-ready release, with stable APIs and long-term support for both .NET and Python. The framework is presented as a unified successor path that builds ...

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

Abstract: Current Text-to-SQL methods are evaluated and only focused on executable queries overlooking the semantic alignment challenge both in terms of the semantic meaning of the query and the ...

A team of AI researchers at Bloomberg have developed PExA, an agentic framework that achieved 70.2% execution accuracy, sharing one of the top positions on the Spider 2.0 (Snow) leaderboard, one of ...

A comprehensive SDK for creating and managing AI agents powered by Microsoft Semantic Kernel with MCP (Model Context Protocol) server integration. Build sophisticated conversational agents with tool ...

In this tutorial, we build an advanced AI agent using Semantic Kernel combined with Google’s Gemini free model, and we run it seamlessly on Google Colab. We start by wiring Semantic Kernel plugins as ...

While data warehouses and cloud-native architectures have grown rapidly, business users are still finding it difficult to reach enterprise data. Even as dashboards and query tools become easier to use ...