modelsAWS Machine Learning BlogOfficial source•
Understanding Amazon Bedrock model lifecycle
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.
Why this matters
This can shift multimodal capability benchmarks and model-selection decisions.
What happened
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.
Who should care
Teams benchmarking model capability and cost.
Recommended next step
Benchmark this model against your baseline on latency, quality, and cost.
Read original sourceSource: aws.amazon.com
