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Regarding the precision of models deployed on Amazon Bedrock, customers should refer to the technical documentation for each individual model. Model precision can vary depending on factors like the type of data it was trained on and how it was implemented.
The Amazon Bedrock platform aims to provide models at their full, published computational precision. However, precision may potentially be reduced for customized models that are retrained or fine-tuned by customers on their own data.
Some key points:
- For the most accurate information on a specific model's capabilities, check the provider's documentation or contact them directly.
- When customizing models, be aware that modifications could impact aspects like precision, accuracy or capabilities. Thorough testing is recommended.
- Amazon Bedrock models are continuously updated by providers. Checking for new versions ensures accessing the latest precision and performance.
- Precision needs will depend on each application. Not all use cases require maximum precision levels.
- I'd suggest verifying precision requirements for your intended use, then confirming details with individual model providers or in their technical documentation. The AWS documentation pages may also have updated specifications for models on Amazon Bedrock. Let me know if you have any other questions!
