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AWS Podcast
#642: re:Invent 2023 - Swami Sivasubramanian Keynote
Nov 30, 2023
Highlights from re:Invent Day 3 include discussions on Amazon Bedrock, Amazon Titan text models, Drop xCloud 2.1, Meadows Llama 70 Billion Parameter, Stable Diffusion Excel 1.0 image model, smart sifting with Amazon SageMaker, new features in Amazon SageMaker Canvas, Open Search Service, and MemoryDB for Redis, and updates from AWS including Vector Search in Amazon DocumentDB, AWS Cleanrooms ML, healthcare modeling in AWS Cleanrooms, Apache Iceberg support in Amazon Redshift, Neptune Analytics for graph data, and new AWS AI service cards.
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Quick takeaways
- Amazon Bedrock now supports batch inference and model evaluation, providing users with customizable evaluation metrics.
- SageMaker HyperPod and smart sifting capability in Amazon SageMaker optimize distributed training and reduce training time and cost.
Deep dives
Amazon Bedrock Updates
Amazon Bedrock now supports batch inference and model evaluation. It offers automatic and human evaluation workflows, allowing users to customize evaluation metrics. The Amazon Titan multimodal embeddings foundation model is now accessible in Amazon Bedrock, enabling accurate and contextually relevant multimodal search and recommendation experiences.
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