Generative AI inspires a fresh perspective on trophy design
In partnership with Formula 1 and the Generative AI Innovation Center, AWS used Amazon Bedrock and Amazon Titan to quickly brainstorm, ideate, and generate hundreds of unique trophy image iterations, marking the first-ever use of generative AI for a trophy design. Titan interpreted an F1 car’s air flow as contours twisting upward into a textured wing-like shape. The design has been fabricated in silver by a traditional silversmith in the UK, bringing to life a design that is truly one-of-a-kind and that gives Formula 1's global fanbase a front row seat to the art of what's possible.
PartyRock Sweepstakes on AWS
Using the new custom PartyRock trophy generator app, sweepstakes participants can use their own prompts to create unique trophy designs, submit snapshots of their creations. At the end of the promotion, a winner will be randomly selected from all eligible submissions to receive a VIP trip for two to a 2025 F1 race!
Generative AI can be used for everything you can imagine
Amazon Bedrock
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. Amazon Bedrock’s single API access, regardless of the models you choose, gives you the flexibility to use different FMs and upgrade to the latest model versions with minimal code changes.
Amazon Q
Amazon Q generates code, tests, debugs, and has multi-step planning and reasoning capabilities that can transform and implement new code generated from developer requests. Amazon Q also makes it easier for employees to get answers to questions across business data—such as company policies, product information, business results, code base, employees, and many other topics—by connecting to enterprise data repositories to summarize the data logically, analyze trends, and engage in dialogue about the data.