For the past few years, prompt engineering has become one of the most important skills in the AI era. Courses were built around it. Job titles were created for it. Entire communities formed to share ...

Developer-first security tool blocks AI manipulation attacks in under 100 milliseconds with a single API call Our goal ...

The API implements a sophisticated multi-stage pipeline to efficiently convert natural language questions into SQL queries. The pipeline leverages multiple caching layers and entity extraction to ...

This guide provides instructions for running the free version of Oracle Database 23c (23.3.0.0) and 23ai (23.4.0.0) on OpenShift 4.14. It also includes instructions on using the 23ai lite ...

Abstract: Large Language Models (LLMs) are known for their ability to understand and respond to human instructions/prompts. As such, LLMs can be used to produce natural language interfaces for ...

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: Querying relational databases through natural language remains a difficult task, especially for users without knowledge of SQL. Existing Text-to-SQL approaches often face issues of semantic ...

In this tutorial, we build a robust, multi-layered safety filter designed to defend large language models against adaptive and paraphrased attacks. We combine semantic similarity analysis, rule-based ...