Table of Contents 1. Introduction 2. Model Architecture 3. Model Evaluation 4. ViNT Limitations 5. Frequently Asked Questions Introduction General-purpose pre-trained models, often referred to as "foundation models," have enabled the development of adaptable solutions for specific machine learning problems using smaller datasets compared to starting from scratch.