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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 ...
Natural Language to SQL system developed as a final degree project (TFG) graded 10/10, and proposed for honors. The system translates user queries written in natural language into SQL, executes them ...
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 ...
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 ...
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