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Deploying large generative AI models on SageMaker

Discover the latest frameworks, sharding techniques, and deployment patterns that can help you scale your generative AI models efficiently.

How to accelerate AI and ML innovation with security and privacy

Learn how to use security and privacy to accelerate going to market with emerging AI/ML technologies such as generative AI.

Securely build generative AI applications and control data with Amazon Bedrock

This presentation discusses the architectures, data flows, and security-related aspects of model fine-tuning, as well as the prompting and inference phases.

Keynote: Innovate with generative AI

Review AWS' strategy and position on generative AI, market opportunity and potential, and AWS' approach on working backwards to develop products and services.

Taming wild diffusion models

In this presentation, we will discuss the following: a brief overview of stable diffusion models, advanced techniques, a walk through of code examples.

Play charades with stable diffusion on Amazon SageMaker

This workshop will cover how to quickly add jumpstart pre-trained models to an application as is or finetune them for a customized experience.

Dialogue guided intelligent document procession with Amazon foundation models

Explore an innovative approach to Intelligent Document Processing (IDP) that utilizes a dialogue-guided query solution.

How generative AI is transforming Media, Entertainment, and Gaming featuring Krikey.AI

Learn how you can leverage generative AI products, such as Krikey.AI, in combination with SageMaker Ground Truth Plus to create custom AI Animation models.

Enhancing Intelligent Document Processing (IDP) workloads with generative AI

In this presentation, we provide an overview of the AI services for IDP, how they can be leveraged with Amazon Bedrock, and show demos of this combination.

Putting generative AI into action with Amazon generative AI Innovation Center

This presentation is designed for business and technical decision makers to jumpstart their adoption of Generative AI and quickly demonstrate early and tangible wins.

Enhancing organization search capabilities with generative AI

Learn how you can leverage generative AI with RAG knowledge retrieval to seamlessly connect predictive maintenance solutions on machine data with OT team’s maintenance workflow.

Fine-tuning generative large language models

In this presentation, we go over three fine-tuning techniques, namely Instruction fine-tuning, Domain adaptation fine-tuning, and Reinforcement Learning with Human Feedback (RLHF).

Harnessing large language models (LLMs) for next-generation enterprise applications

This presentation will explore the role of large language model (LLMs) frameworks in bridging the gap between LLMs and enterprise solutions.

Accelerate ML innovation with Amazon SageMaker JumpStart

Pre-training generative AI models at scale - Advanced optimization techniques

This presentation covers large-scale model training using Amazon SageMaker on AWS, focusing on core concepts, data preparation, methodology, and optimization techniques.

Accelerate ML innovation with Amazon SageMaker JumpStart

Learn how to use foundation models and built-in algorithms to accelerate ML innovation in your business.

AWS Contact Center Intelligence powered by generative AI

Dive into how AWS contact center Intelligence with large language models can revolutionize the customer support experience and explore the benefits of using large language models on AWS.

Fine-tuning of LLMs in Amazon SageMaker JumpStart

In this code walk-through, we will discuss mechanisms to build a human-feedback workflow to further fine-tune and improve our model.

AWS Contact Center Intelligence powered by Generative AI