Why is this important? Well, one incident in one data center took a whole GCP *region* offline! The definition of what "region" in the cloud is different at AWS, and at Google Cloud and Azure. Generative AI – Use Cases and Solutions - AWS #AWSTrainium #AWSInferentia #AmazonBedrock #AmazonTitan #AmazonCodeWhisperer #GenerativeAI #AmazonAI #EC2 #AWS Super excited to usher in the new era of Generative AI with a very talented team spanning science, engineering, UI, and product management across AWS AI/ML, EC2, and Annapurna Labs! CodeWhisperer is the best way to generate code for AWS APIs and build your applications on AWS. CodeWhisperer leads the industry in doing this in a responsible manner by being thoughtful about code security, open-source attribution, and bias detection for the generated code. With multi-line/ block/ function level code suggestions right inside the IDE, you can now build even more quickly and productively. Moving up the stack, we announced a unique service - Amazon Bedrock - that is all about how you can use Generative AI to build your best enterprise applications empowered by the following: (i) choice of foundation models from leading providers, including Amazon’s own Titan family of models, (ii) fine-tune models with your own data to maximize accuracy for your application scenarios, (iii) privacy, security, and full control over how your data and fine-tuned models are used, (iv) integration with familiar AWS ML tools such as SageMaker to build and deploy at scale, and (v) do all this in a managed, serverless manner on the lowest cost, highest performance, largest scale cloud infrastructure.įinally, we announced GA for CodeWhisperer, your in-IDE coding companion that uses ML to automatically generate code based on programming context (including natural language comments). We announced GA of our own ML silicon – Trainium based Trn1n instances for training and Inferentia2 based Inf2 instances for inference – for the most cost efficient and high performance way to run your Generative AI workloads. We have been at it for a while now to transform the customer experience for our Amazon services and are now enabling our AWS customers to do it for themselves. At Amazon and AWS, we are innovating across the entire end-to-end Generative AI stack, from hardware to foundational models to domain-specific applications.
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