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AWS Tranium and Inferentia // Kamran Khan and Matthew McClean // #238

MLOps.community

CHAPTER

Exploring AWS Services for Generative AI

The chapter delves into the comparison between SageMaker and Bedrock for generative AI, highlighting the customizability and model fine-tuning capabilities of Bedrock. It discusses choosing between simplicity with Bedrock or control with SageMaker based on ML expertise and deployment needs, as well as utilizing various cloud models and APIs to enhance user experiences. The conversation emphasizes starting with simpler services and transitioning to more complex setups as needed, focusing on community contributions, partnerships, and the trend towards smaller language models for cost-effective and efficient development.

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