Microsoft aims to build cutting-edge AI models by 2027, signaling a shift away from reliance on OpenAI and a push to compete ...

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 ...

Leaked documents reveal Anthropic’s next AI model, Mythos, with major gains in coding and cybersecurity, raising new questions about AI risks.

A large amount of time and resources have been invested in making Python the most suitable first programming language for ...

Overview Each tool serves different needs, from simplicity to speed and SQL-based analytics workflows.Performance differences ...

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

Abstract: With the growing demand for efficient code generation and maintenance in software development, model-driven development and SQLcontrol development have gradually become important choices in ...

A Model Context Protocol (MCP) server that provides database operations as tools for LLM-powered applications. Supports PostgreSQL, MySQL, and MongoDB databases with connection pooling and flexible ...

Abstract: The task of text-to-SQL aims to convert natural language questions into executable SQL queries within relational databases. This greatly enhances the usability of relational database ...

🦉 OWL is a cutting-edge framework for multi-agent collaboration that pushes the boundaries of task automation, built on top of the CAMEL-AI Framework. Our vision is to revolutionize how AI agents ...