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Foundation Model
A large AI model trained on broad data that can be adapted to many downstream tasks.
TL;DR
- —A large AI model trained on broad data that can be adapted to many downstream tasks.
- —Understanding Foundation Model is critical for effective AI for companies.
- —Remova helps companies implement this technology safely.
In Depth
Foundation models are large-scale AI models (like GPT-4, Claude, Gemini) trained on vast datasets that serve as the base for various applications. They can perform multiple tasks without task-specific training. Enterprise governance must account for the fact that foundation models may contain biases from training data and can generate unpredictable outputs.
Related Terms
Large Language Model (LLM)
A deep learning model trained on vast text datasets that can understand and generate human-like text.
Fine-Tuning
The process of further training a pre-trained AI model on specific data to customize its behavior for particular tasks.
Training Data
The dataset used to train an AI model, which significantly influences its capabilities and biases.
AI Alignment
Ensuring AI systems behave according to human values, intentions, and organizational goals.
Glossary FAQs
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