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Traditionally, transforming raw data into actionableintelligence has demanded significant engineering effort. With Amazon Bedrock Data Automation, enterprises can accelerate AI adoption and develop solutions that are secure, scalable, and responsible. For example, a request made in the US stays within Regions in the US.
Success comes from methodically using techniques like promptengineering and chunking to improve both the retrieval and generation stages of RAG. However, generating and maintaining large datasets using human annotators is a time-consuming and costly approach. The following screenshot shows these options on the Amazon Bedrock console.
Led by agricultural technology innovators, generative AI is the latest AI technology that helps agronomists and researchers have open-ended human-like interactions with computing applications to assist with a variety of tasks and automate historically manual processes. Promptengineering plays a central part in this generative AI solution.
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