The Muse series is set to be Meta’s second major foray into powerful AI, following its Llama models. Zuckerberg revamped the ...

Meta debuted its first major large language model, Muse Spark, spearheaded by chief AI officer Alexandr Wang, who leads Meta ...

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 ha ...

Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

How AI foundation models trained on DNA could transform plant biology ...

SQM (Structured Query Model) is a Java framework for representing SQL as a typed immutable model and running end-to-end SQL pipelines. It supports parse, validate, transform/rewrite, render, serialize ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain ...

GPT-5.4 cited brand websites at a far higher rate than GPT-5.3. There was almost no citation overlap between models on the same prompts. Most domains cited by GPT-5.4 didn't appear in Google or Bing ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...

Abstract: The Text-to-SQL task is to convert natural language queries into Structured Query Language (SQL) to achieve a natural language interface for database queries. The current research on Text-to ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...