Find and fix bugs in natural language machine learning models using adaptive testing.
MIT License
Bot releases are hidden (Show)
Published by slundberg over 2 years ago
First stable version based on learned expectations using local topic models and the new UI.
This the last version that matches the explicit manual expectation declarations tested in the original paper.
workshop materials to build intelligent solutions on Open AI
A unified wrapper for various ML frameworks - to have one uniform scikit-learn format for predict...
Community for applying LLMs to robotics and a robot simulator with ChatGPT integration
MLOps examples
Secure AI Solutions
Trace, the New AutoDiff for AI Systems and LLM Agents
Large Language Models for Supply Chain Optimization
Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documen...
Building modular LMs with parameter-efficient fine-tuning.
Repo for WWW 2022 paper: Progressively Optimized Bi-Granular Document Representation for Scalable...
AICI: Prompts as (Wasm) Programs
The Contoso Traders app is a sample application showcasing Playwright, Azure Load Testing, Azure ...