Models & Architectures
Glossary
Foundation Model
A large model pre-trained on broad data that can be adapted to many downstream tasks.
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A foundation model is trained once at scale, then reused through prompting, fine-tuning or retrieval for a wide range of applications. This shift from task-specific models to general ones is what made modern AI development fast and accessible. Examples include large language models and general vision models.
Related terms
Large Language Model
A neural network trained on massive text corpora to predict the next token, enabling it to generate and understand langu...
Fine-tuning
Further training a pre-trained model on a smaller, task-specific dataset so it specialises.
Parameters
The internal numbers a model learns during training; their count is a rough measure of model size.
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