Faster answers, better decisions: ML-powered document analysis

In regulated industries like life sciences, accelerating research while ensuring compliance is crucial. With LLMs and Retrieval Augmented Generation (RAG), researchers can ask real-time questions about clinical trial documents, extracting insights that drive faster, data-backed decisions.

Join Domino as we demonstrate how to use LLMs and RAG for clinical trial summarization – unifying data, compute, and AI tool management to optimize performance, cut costs, and accelerate AI from experimentation to production.

In this webinar, we’ll show how to use Domino to:

• Deploy LLMs to Amazon SageMaker for scalable, governed inference.
• Use AWS Trainium and Inferentia for accelerated training and inference.
• Access large language models via Amazon Bedrock, backed by Domino’s governance capabilities.
• Centralize model development and monitoring through Domino’s unified platform.