40 citations · 40 across the 2 of their papers we have counts for
2 papers
cs.CL2024
Evaluating Large Language Models with fmeval
Pola Schwöbel, Luca Franceschi, Muhammad Bilal Zafar +7
fmeval is an open source library to evaluate large language models (LLMs) in a range of tasks. It helps practitioners evaluate their model for task performance and along multiple r…
cs.LG2021★ 40 cited
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud
Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng +18
Understanding the predictions made by machine learning (ML) models and their potential biases remains a challenging and labor-intensive task that depends on the application, the da…