In this tutorial, we build a complete, production-grade ML experimentation and deployment workflow using MLflow. We start by launching a dedicated MLflow Tracking Server with a structured backend and ...

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: This paper proposes a zero-shot Text-to-SQL method based on large language model (LLM) prompt learning, which we call the AMPC-SQL. Specifically, we utilize large models to play two roles: ...

At least you will need to have the pydantic package installed. Of course it make sense to have some kind of service supporting query models like fast api. Currently sql models are implemented - but ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Abstract: Aiming to reduce the learning cost of database operations, Text-to-SQL methods provide a strategy of automatically generating structured query language (SQL), which is an active research ...

FastAPI has become a favorite for building APIs in Python, and it’s popping up everywhere in job listings. If you’re looking to land a tech job in 2025, you’ll probably run into some fastapi interview ...

了解如何使用 Tinker 和 Ray 微调 text-to-SQL 模型，从而提高 AI 生成高效 SQL 查询的能力。 在推进 text-to-SQL 模型的创新方法中，Anyscale 介绍了一种利用 Tinker 和 Ray 来简化训练和部署过程的方法。这一发展旨在增强 AI 构建者生成高效 SQL 查询的能力，根据 Anyscale。

SQL injection attacks pose a critical threat to web application security, exploiting vulnerabilities to gain access, or modify sensitive data. Traditional rule-based and machine learning approaches ...