What Are Foundation Models?
AI Summary
Summary of Foundation Models
Foundation models are a type of AI capable of a wide range of tasks, including:
- Language translation
- Image generalization
They are trained on vast amounts of unstructured data and can be fine-tuned for specific tasks through prompting or tuning.
Advantages:- High performance
- Increased productivity
Disadvantages:- High compute costs
- Trustworthiness issues
IBM is actively innovating in this space, aiming to enhance the efficiency and reliability of foundation models. Current explorations involve applications in language, vision, code, and more. IBM is dedicated to making these models more trustworthy and efficient.
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