Abstract: Text-to-SQL has emerged as a fundamental task for enabling natural language interfaces to relational databases, playing a critical role in data analytics, business intelligence, and end-user ...

Most text-to-SQL systems treat the task as translation. Feyn AI (YC-backed startup) reframes it around inspection. The Feyn team has released SQRL, a family of models that turn natural language ...

Google recently announced the general availability (GA) of AlloyDB AI functions, along with two acceleration techniques that fundamentally change how databases interact with large language models ...

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June 24 (Reuters) - U.S. AI company Anthropic accused Alibaba (9988.HK), opens new tab, the Chinese technology and e-commerce giant, of illicitly extracting its Claude AI model capabilities in what it ...

When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context. With more than ...

For agentic AI to deliver material benefits to organizations, it can’t be layered onto existing operations. Instead, enterprise leaders must approach it as a systems-level change. In partnership ...

Google is rolling out a new “Thinking level” feature in the Gemini app. It will let users choose a “standard” or “extended” thinking level for their queries. Gemini will also soon get Canva, Instacart ...

Every LangChain pipeline your team hardcodes starts breaking the moment the query distribution shifts — and it always shifts. That bottleneck is what Sakana AI set out to eliminate. Researchers at ...

iOS 27, iPadOS 27, and macOS 27 will let users set third-party AI services as the default for Apple Intelligence features like Writing Tools and Image Playground, reports Bloomberg. Apple has signed a ...

The system prompt for OpenAI’s Codex CLI contains a perplexing and repeated warning for the most recent GPT model to “never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other ...

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 ...