Abstract: Structured Query Language Injection (SQLi) attacks continue to pose a serious threat to web applications, especially those hosted in cloud-based environments. Traditional detection methods, ...
Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...
In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...
Natural Language to SQL (NL2SQL) enables intuitive interactions with databases by transforming natural language queries into structured SQL statements. Despite recent advancements in enhancing ...
Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...
In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...
Abstract: Natural Language Processing (NLP) is key to enabling intuitive interaction with structured data, especially via natural language interfaces for SQL query generation. However, accurately ...
AIQ (AI Query) is an intelligent SQL client that enables you to interact with databases using natural language. No need to write SQL manually—just ask questions in natural language, and AIQ will ...