Amazon Nova

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Build an automated generative AI solution evaluation pipeline with Amazon Nova

Advanced (300), Amazon Bedrock, Amazon Nova, Customer Solutions /

Large language models (LLMs) have become integral to numerous applications across industries, ranging from enhanced customer interactions to automated business processes. Deploying these models in real-world scenarios presents significant challenges, particularly in ensuring accuracy, fairness, relevance, and mitigating hallucinations. Thorough evaluation of the performance and outputs of these models is therefore critical to maintaining trust […]

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Build a FinOps agent using Amazon Bedrock with multi-agent capability and Amazon Nova as the foundation model

Advanced (300), Amazon Bedrock, Amazon Cognito, Amazon Machine Learning, Amazon Nova, Artificial Intelligence, AWS Amplify, AWS Cost Explorer, AWS Lambda, AWS Trusted Advisor /

AI agents are revolutionizing how businesses enhance their operational capabilities and enterprise applications. By enabling natural language interactions, these agents provide customers with a streamlined, personalized experience. Amazon Bedrock Agents uses the capabilities of foundation models (FMs), combining them with APIs and data to process user requests, gather information, and execute specific tasks effectively. The

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Model customization, RAG, or both: A case study with Amazon Nova

Advanced (300), Amazon Bedrock, Amazon Machine Learning, Amazon Nova, Amazon SageMaker, Generative AI, Technical How-to /

As businesses and developers increasingly seek to optimize their language models for specific tasks, the decision between model customization and Retrieval Augmented Generation (RAG) becomes critical. In this post, we seek to address this growing need by offering clear, actionable guidelines and best practices on when to use each approach, helping you make informed decisions

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