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.
