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.
Secure AI Solutions
Community for applying LLMs to robotics and a robot simulator with ChatGPT integration
Trace, the New AutoDiff for AI Systems and LLM Agents
MLOps examples
AICI: Prompts as (Wasm) Programs
A unified wrapper for various ML frameworks - to have one uniform scikit-learn format for predict...
Official Codebase for MEGAVERSE: (published in ACL: NAACL 2024)
Building modular LMs with parameter-efficient fine-tuning.
Repo for WWW 2022 paper: Progressively Optimized Bi-Granular Document Representation for Scalable...
Large Language Models for Supply Chain Optimization
workshop materials to build intelligent solutions on Open AI
Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documen...