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Fine tune a Large Language Model with Medical Data using SageMaker

Fine tune a Large Language Model with Medical Data using SageMaker

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Driving Business Value with GenAI

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Part 4 Retrieval Augmented Generation of Medical Records with Amazon Bedrock

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Generative AI use cases

Explore impactful generative AI use cases and implementation best practices for demonstrable business value.

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Simplifying the contact center experience in financial services with Amazon Connect

When customer trust is on the line, organizations in banking, insurance, and other financial services industries (FSI) need to deliver exceptional customer experiences.

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MIT Unlocking the trillion-dollar potential of generative AI

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AWS Skill Builder in action

Start building in an AWS cloud environment, with guided instructions, to help you gain practical skills that you can apply to your day-to-day work.

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Demo: Anthropic Claude 3 Vision Capabilities on Amazon Bedrock

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How Mixbook leveraged generative AI to offer personalized photo book experiences

Learn how Mixbook partnered with Mission Cloud to build a solution to further personalize their unique photo books and products with both AI-driven recommendations and AI-generated images.

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Train and tune your own foundation model

Get prescriptive guidance across the entire journey of foundation model customization and pre-training to help you accelerate generative AI development

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Transform every agent into your best agent with Amazon Q in Connect

Learn how generative AI can help new agents begin taking live contacts quickly and with proficiency and accompany all agents on their most challenging interactions.

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Build generative AI apps responsibly using Guardrails for Amazon Bedrock

Learn how to deliver consistently safe user experiences using Guardrails for Amazon Bedrock.

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Integrate data faster and easier with a zero-ETL future

Learn how AWS is investing in a zero-ETL future so you can quickly and easily connect to and act on all your data.

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Integrate your data lake into a generative AI workflow

Access this session to understand the top data considerations when integrating your data lake into the generative AI workflow.

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Democratizing generative AI

Learn how AWS is democratizing generative AI, empowering customers to transform customer engagement and boost employee productivity.

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Explore Amazon Titan foundation models in Amazon Bedrock

Learn how Amazon Titan models are created by AWS and pre-trained on large datasets.

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Central observability and governance for Amazon Bedrock

Learn how to leverage Amazon CloudWatch to monitor Amazon Bedrock and discover how AWS Audit Manager can help ensure that your use of Bedrock follows AWS generative AI best practices.

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A deep dive on AWS infrastructure powering the generative AI boom

Get a close look at the innovation across AWS infrastructure and hear about how AWS customers built, deployed, and scaled large text and image generation models across various products and services.

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From vision to value: Make data your differentiator for generative AI

Review strategies to help leaders maximize the value of generative AI through thoughtful data foundations, fostering a culture of innovation.

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Use foundation models to solve business challenges with SageMaker Canvas

Learn how to access and evaluate foundation models for top business needs and explore how you can get started with no-code tools for each step of the ML lifecycle.

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Deploy FMs on Amazon SageMaker for price performance

Tour of features that make Amazon SageMaker a great choice for deploying FMs for inference and learn how you can benefit from AWS innovations.

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Democratizing mental health screening with Aiberry and Amazon SageMaker

Explore how Aiberry is leveraging Amazon SageMaker and other key services to make reliable mental health evaluations widely accessible.

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