Comprehensive LLM testing suite for safety, performance, bias, and compliance, equipped with methodologies and tools to enhance the reliability and ethical integrity of models like OpenAI's GPT series for real-world applications.

Demographic bias in misdiagnosis by computational pathology models - Nature Medicine

This is a pubic repository of adversarial medical question answering (AMQA) dataset for benchmarking bias of LLMs in medicine and healthcare.

A multi-view panorama of Data-Centric AI: Techniques, Tools, and Applications (ECAI Tutorial 2024)

In-depth exploration of Large Language Models (LLMs), their potential biases, limitations, and the challenges in controlling their outputs. It also includes a Flask application that uses an LLM to perform research on a company and generate a report on its potential for partnership opportunities.