Abstract: Aim: To improve accountability, transparency, and the general effectiveness of the organ and medication donation process by creating a safe and effective administration system utilizing ...

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, ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

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 ...

We developed and evaluated a pipeline combining Mistral Large LLM and a postprocessing phase. The pipeline's performance was assessed both at document and patient levels. For evaluation, two data sets ...

This server enables end users to query KDB-X data through natural language, providing production-grade resources, prompts, and tools for seamless data interaction. Built on an extensible framework ...

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 ...

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 ...