Amazon Web Services

This video showcases how manufacturers leverage AWS services and partner solutions to drive digital transformation, improve product quality, and achieve operational excellence across their factories

Get a behind-the-scenes look at MAG's journey delivering innovative, human-centered AI solutions for smarter travel in collaboration with the AWS prototyping team.

While preparing its visual effects assets for Avatar 2: The Way of Water, Wētā FX maxed out its on-premises render capabilities, putting its delivery deadlines in jeopardy.

The Fastest and Easiest Way to Build Applications.

In this video, you will learn how to implement a scalable and reusable framework for RAG-based workflows.

In this video, you will learn how to monitor LLMs, including prompt injections, toxicity, sentiment, and more, to ensure your model is secure, so you can build your generative AI applications

In this video, you will learn how to use Amazon SageMaker to safeguard and run governance controls for your end-to-end generative AI project.

You need scalable and cost-effective ways to serve hundreds of foundation models. In this video, you will learn how to use SageMaker inference components to deploy multiple models at scale.

As the demands for personalized and specialized AI solutions grow, organizations are managing hundreds of fine-tuned models tailored to specific customer needs or use cases.

In this video, you will learn how to enforce responsible AI with a safety guard model LlamaGuard and Llama2-7b on Amazon SageMaker using inference components for cost effective and safe deployment.

Amazon SageMaker makes it easier to deploy FMs to make inference requests at the best price performance for any use case.

Amazon SageMaker makes it easier to deploy FMs to make inference requests at the best price performance for any use case.

Amazon SageMaker makes it easier to deploy FMs to make inference requests at the best price performance for any use case.

To equip the FM with new knowledge not included in the pre-training dataset, you can use RAG, a technique that involves fetching data from company data sources and enriching the prompt with that

In this video, you will learn how to fine-tune foundation models using Amazon SageMaker JumpStart.

In this video, you will learn how to label the data using Amazon SageMaker Ground Truth. You can collect human labeled data through automated workflow or an AWS managed workforce.

Effective prompt engineering is crucial for directing model behavior and achieving desired responses. It helps you to modify the performance of FMs.

In this video, you will learn how to evaluate and select the right FM for your use case using Amazon SageMaker Clarify.

Amazon SageMaker JumpStart provides access to hundreds of foundation models (FMs). In this video, you will learn how to explore, fine-tune, and deploy foundation models using SageMaker JumpStart.

Amazon SageMaker helps you reduce the time and cost of training foundation models (FMs) at scale without managing infrastructure.

Amazon SageMaker helps you reduce the time and cost of training foundation models (FMs) at scale without managing infrastructure.

Amazon SageMaker helps you reduce the time and cost of training foundation models (FMs) at scale without managing infrastructure.

It’s critical to increase efficiencies in foundation model experimentation and deployment to scale model development. In this video, you will learn how to efficiently run prompt management.

In this video, you will learn how to create reliable and repeatable fine-tuning pipelines on SageMaker.

AWS Amplify brings a fullstack TypeScript developer experience to AWS, built with frontend developers in mind. Host an app frontend globally with CI/CD.

Working with Hot and Cold data in Amazon DynamoDB presented by Takahiro Iwase Solutions Architect - AWS.

Join Swami Sivasubramanian, senior vice president of artificial intelligence and data at AWS, as he talks to Vered Horesh, chief strategic AI partnerships at BRIA, about BRIA's innovative approach

This short video provides market trends and insights from a variety AWS customers and how AWS helps customers be more innovative and tackle the needs of the market. Learn more at: aws.amazon.

TaskUs, a leading provider of outsourced digital services and next-generation customer experience to the world’s most innovative companies, helps its clients represent, protect, and grow their brands.

Prudential Financial has built a low-touch, integrated data platform with a range of capabilities that service a large community of technical & non-technical users.