Amazon Bedrock regularly releases new foundation model (FM) versions with better capabilities, accuracy, and safety. Understanding the model lifecycle is essential for effective planning and management of AI applications built on Amazon Bedrock. Before migrating your applications, you can test these models through the Amazon Bedrock console or API to evaluate their performance and compatibility.
This post shows you how to manage FM transitions in Amazon Bedrock, so you can make sure your AI applications remain operational as models evolve. We discuss the three lifecycle states, how to plan migrations with the new extended access feature, and practical strategies to transition your applications to newer models without disruption.
Amazon Bedrock model lifecycle overview
A model offered on Amazon Bedrock can exist in one of three states: Active, Legacy, or End-of-Life (EOL). Their current status is visible both on the Amazon Bedrock console and in API…
https://aws.amazon.com/blogs/machine-learning/understanding-amazon-bedrock-model-lifecycle/
