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 ...
The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ...
Join us for an exclusive FREE workshop hosted by the Touro University Graduate School of Technology: “What We Learned Building LLM‑Powered Text‑to‑SQL". This session explores why text‑to‑SQL remains a ...
SILICON SLOPES, Utah--(BUSINESS WIRE)--Domo (Nasdaq: DOMO) today announced a major upgrade to its core business intelligence experience, introducing new capabilities that make it easier for business ...
Abstract: To leverage the advantages of LLM in addressing challenges in the Text-to-SQL task, we present XiYan-SQL, an innovative framework effectively generating and utilizing multiple SQL candidates ...
Today is Microsoft's March 2026 Patch Tuesday with security updates for 79 flaws, including 2 publicly disclosed zero-day vulnerabilities. This Patch Tuesday also addresses three "Critical" ...
Abstract: Natural language interfaces to databases promise to democratize data access, yet current Text-to-SQL systems fail to address a fundamental challenge: user questions are often ambiguous.
If there’s one universal experience with AI-powered code development tools, it’s how they feel like magic until they don’t. One moment, you’re watching an AI agent slurp up your codebase and deliver a ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
Without shared context, AI and analytics tools struggle to deliver meaningful insights. And without strong governance, organizations can’t scale those insights without creating inconsistency, chaos, ...
Governance-as-a-service for Semantic Kernel agents. Cryptographic action verification (ALLOW/CLAMP/DENY), hash-chained provenance, intent-command binding, and compliance bundles. SK agents taking real ...
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