Google's Gemma Language Models Now in SageMaker JumpStart for Faster ML Lifecycle
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Gemma, a family of lightweight language models from Google, is now available in SageMaker JumpStart for fine-tuning and deployment.
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JumpStart provides quick access to foundation models like Gemma along with notebooks and templates to get started with machine learning.
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The post walks through discovering, deploying, and fine-tuning the Gemma model in SageMaker Studio and Python SDK.
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Benchmark results highlight Gemma's high throughput for small queries but limitations handling SageMaker's max context length.
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Continued monitoring and fine-tuning is recommended to optimize performance of deployed Gemma models for specific use cases.