Databricks research shows multi-step agents consistently outperform single-turn RAG when answers span databases and documents

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

Demystifying structured data: How to speak an LLM’s native language

Elk Marketing reports that structured data enhances AI understanding, enabling accurate entity recognition and improved ...
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A cost-effective text-to-SQL approach based on adaptive refinement

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 ...
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Oracle layoffs: 'Helped build FreeSQL' — employee who lost job pens note

Massey, who was 30 weeks pregnant and spent four years with the company, was laid off via an e-mail sent to her inbox.
IEEE

Structured KV Cache Selection with RoPE Correction for Efficient Multi-Query Large Table Question Answering

Abstract: The application of Large Language Models to complex reasoning tasks over large-scale, structured data, such as enterprise tables, is becoming increasingly prevalent. However, this ...