Making a Azure Responsible AI dashboard for regression and classification models
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Updated
Jan 30, 2024 - Jupyter Notebook
Making a Azure Responsible AI dashboard for regression and classification models
Adversarial attacks on CNNs using gradients of the network
Experiments for the paper "Finding patterns in ambiguity", accepeted at ReGenAI workshop @ CVPR 2024
A short Course Training Material by AI4D Lab on Machine Learning,Deep Learning and Responsible AI.
A toolkit that streamlines and automates the generation of model cards
R code for Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety
AI Equity Guide
Comparing AI policies and strategies.
A demonstration of detecting and mitigating bias in AI.
Repository for Workshops at Princeton Azure Day 2023
We make Generative AI accessible to Federal agencies and businesses. Easy-to-use ezGPT™ platform eliminates the need for in-house expertise and delivers pre-built solutions for rapid innovation. With security and privacy at its core, we unlock the potential of AI. Our innovative chatbot guides users, ensuring a smooth and successful experience.
In this course navigates through the LLMOps pipeline, enabling you to preprocess training data for supervised fine-tuning and deploy custom Large Language Models (LLMs).
This repository contains all the exercise files in the LinkedIn Learning course "Synthetic Data as the Future of AI Privacy, Explainability, and Fairness: An Introduction for Data Scientists and Data Executives" by Alexandra Ebert.
Mapping the Landscape of AI, ML, and DL in Climate Change Research
Responsible and Safe AI practices. Studying and recommending solutions for Identifying memorization by Large Language Models
Azure Open AI Workshop: earn how to interact with OpenAI models
Trustworthy AI/ML course by Professor Birhanu Eshete, University of Michigan, Dearborn.
FairPy: A Python Library for Machine Learning Fairness
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