Amazon offers a range of generative AI services, applications, tools, and supporting
infrastructure. Which of these you use depends largely on what you’re trying to accomplish, how
much choice you need in foundation models, the degree of customization you need in your
generative AI applications, and the expertise within your organization.
Foundation models and types
Foundation models (FMs) are the backbone of generative AI. These pre-trained AI models can be
customized for specific tasks, and come in various types:
-
Text models:
Process and generate natural language
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Image models:
Work with visual data for tasks like image generation or
analysis
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Multimodal models: Handle multiple types of data simultaneously
The capabilities of an FM are often related to its size, measured in parameters. Larger models
can capture more complex patterns, but require more computational resources.
After you've decided on a generative AI service, choose the foundation model (FM) that gives
you the best results for your use case. Amazon Bedrock has a model
evaluation capability
that can assist in evaluating, comparing, and selecting the best FMs for your use case.
