Abstract: Privacy-preserving collaborative data analysis is a popular research direction in recent years. Among all such analysis tasks, privacy-preserving SQL ...
Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that ...
I work in accounting for a large U.S. city. Recently, I was tasked with helping to train a new hire: a much younger guy who has a superior ranking to me. He picks up things quickly. But the issue is ...
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 ...
According to God of Prompt, dynamic per-query scaling in AI models can render $100M large-scale training runs obsolete, allowing companies to deploy smaller, more efficient models that dynamically ...
Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...
Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...
Natural language interface to databases is a growing focus within artificial intelligence, particularly because it allows users to interact with structured databases using plain human language. This ...
1 Faculty of Science, Ontario Tech University, Oshawa, Canada. 2 Faculty of Business and IT, Ontario Tech University, Oshawa, Canada. 3 Legion Development Group, Oshawa, Canada. This study presents a ...
Ability to send training data with sample queries and DDLs as a text file after invoking an agent session. Shown in the picture, the query is sent to the LLM but the training data is not uploaded.
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