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Choice: Keeping pace with emerging models for generative AI in Life Sciences - AWS

Retrieved on: 2024-07-11 17:18:49

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Summary

The article describes the dynamic landscape of generative AI in life sciences, emphasizing 'Retrieval Augmented Generation' (RAG) as an effective method. It highlights integrating AI models like Claude for domain-specific applications, underscoring key strategies and use cases discussed by experts Joshua Batson and Lisa Brian at the AWS Life Sciences Leaders Symposium. Tags like deep learning, NLP, and prompt engineering align with the discourse on AI model adaptation and deployment.

Article found on: aws.amazon.com

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