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Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

AWS Machine Learning Blog

Traditionally, transforming raw data into actionable intelligence has demanded significant engineering effort. These analytics are implemented with either Amazon Comprehend , or separate prompt engineering with FMs.

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Evaluate and improve performance of Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

Success comes from methodically using techniques like prompt engineering and chunking to improve both the retrieval and generation stages of RAG. Performance improvement tools Comprehensive evaluation metrics are more than just performance indicatorstheyre a strategic roadmap for continuous improvement in your RAG pipeline.

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Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock

AWS Machine Learning Blog

Agronomists use this service to accelerate innovation and turn research and experimentation data into meaningful, actionable intelligence. The time-consuming, undifferentiated task of cleaning, standardizing, harmonizing, and processing the data is automated and handled by Agmatix’s intelligent service.