ML method
Foundation Models
Large models pre-trained on broad data that can then be adapted to many specific tasks with little extra training. In astronomy they are an emerging approach to building a single model that understands images, spectra, or light curves across many problems at once.
Methods, data & targets
Used across astro-ML
Knowledge connections
- Associated withRepresentation Learning
- Associated withSelf-Supervised Learning
- Associated withSelf-Supervised Learning
- Associated withRepresentation Learning
- Associated withReproducibility & FAIR Data
- Associated withGPU Computing
Sources
The primary and reference sources this topic draws on.
- NASANational Aeronautics and Space Administration
Mission data, planetary science, space telescopes, and public-domain imagery.
Most NASA-produced imagery is in the public domain; individual items are checked for usage terms before publication.