Base Models
A general-purpose AI model trained on a wide range of data.
Overview
Foundational AI models trained on extensive and diverse datasets, providing them with a broad understanding of language, images, or other types of data, and the ability to perform a wide array of tasks. These models, while versatile, typically lack specific training on tasks such as instruction following, making them a general-purpose tool that can be adapted or fine-tuning for specific applications. They serve as a flexible starting point in many AI projects, reducing the need for training from scratch.
General Knowledge
Base models are trained on vast amounts of data, enabling them to have a broad general understanding of many kinds of data (text, image, audio, etc). This comprehensive training provides them with versatile capabilities across different domains.
Flexible Starting Point
They provide a good starting point for many AI projects and can be adapted or fine-tuned for specialized tasks. This adaptability makes them particularly valuable for developing specialized applications without starting from scratch.
Applications in Healthcare
In healthcare, they reduce time and effort needed to develop specialized models for specific medical applications. Rather than training new models from scratch, existing base models can be fine-tuned for particular medical tasks, significantly accelerating development time.