Foundation Models
Modern AI models that execute specific tasks in a single domain are giving way to ones that learn more generally, and work across domains and problems. Foundation models, which are trained on large, unlabeled datasets and fine-tuned for an array of applications, are driving this shift.
Overview
Modern AI models can learn from millions of examples to help find new solutions to difficult problems. But building new systems tends to take time — and lots of data. The next wave in AI will replace task-specific models with ones that are trained on a broad set of unlabeled data that can be used for different tasks — with minimal fine-tuning. These are called foundation models. They can be the foundation for many applications of the AI model. Using self-supervised learning and fine-tuning, the model can apply information it has learned in general to a specific task.
We believe that foundation models will dramatically accelerate AI adoption in business. Reducing time spent labeling data and programming models will make it much easier for businesses to dive in, allowing more companies to deploy AI in a wider range of mission-critical situations. Our goal is to bring the power of foundation models to every enterprise in a frictionless hybrid-cloud environment. Learn more about foundation models
Our work
What is prompt-tuning?
NewsWhy we built an AI supercomputer in the cloud
ResearchIBM and NASA team up to spur new discoveries about our planet
NewsAn AI foundation model that learns the grammar of molecules
NewsYour ‘check engine’ light is blinking. What if an AI could tell you why?
ResearchDebugging foundation models for bias
Research- See more of our work on Foundation Models
Projects
Federated systems
- Data and AI Security
- Adversarial Robustness and Privacy
- Foundation Models
Foundation models for conversation
- Conversational AI
- Foundation Models
Deep Scanner
A tale of adversarial attacks & out-of-distribution detection stories in the activation space
- Adversarial Robustness and Privacy
- Foundation Models
Conversational intelligence
Exploring AI-based conversational systems in a human-centered approach
- Conversational AI
- Human-Centered AI
- Natural Language Processing
- Speech
- Foundation Models
Publications
- 2023
- APS March Meeting 2023
- 2023
- IAAI 2023
- 2023
- AAAI 2023
- 2022
- ACML 2022
- 2022
- NeurIPS 2022
- 2022
- NeurIPS 2022