In practice
GPT-4, Claude, Llama are foundation models. For most use cases you do not train a new one: you use it via API or open weights and adapt it with prompting, RAG, or a small fine-tune on top.
Related terms
Seen in the wild
12 entries mentioning it- LandmarkAnthropic launches Claude Fable 5, its first Mythos-class model for everyone
- HighPhysical Intelligence π0.7: a generalist robot model that starts recombining skills
- HighApple WWDC 2025: iOS 26 and the Foundation Models framework
- HighNVIDIA Isaac GR00T N1: the open foundation model for humanoid robots unveiled at GTC
- HighCrossFormer: one policy for manipulation, navigation, locomotion and aviation
- HighFlorence-2: a single visual model for captioning, detection, segmentation, and OCR
- MediumOpenVLA: an open-source 7B Vision-Language-Action model for robotics
- HighOpen X-Embodiment and RT-X: a shared robotics dataset from 22 robot types
- MediumIBM makes watsonx.ai and watsonx.data available to enterprises
- LandmarkPaLM-E: a 562-billion-parameter embodied language model
- HighLLaMA: Meta opens foundation models to research
- HighOn the Opportunities and Risks of Foundation Models: Stanford coins the term