"Our e-commerce recommendations engine is driven by ML; the paths that optimize robotic picking routes in our fulfillment centers are driven by ML; and our supply chain, forecasting, and capacity planning are informed by ML."

"Prime Air (our drones) and the computer vision technology in Amazon Go (our physical retail experience that lets consumers select items off a shelf and leave the store without having to formally check out) use deep learning."

"Alexa, powered by more than 30 different ML systems, helps customers billions of times each week to manage smart homes, shop, get information and entertainment, and more."

"AWS has the broadest and deepest portfolio of AI and ML services at all three layers of the stack."

"We’ve invested and innovated to offer the most performant, scalable infrastructure for cost-effective ML training and inference; developed Amazon SageMaker, which is the easiest way for all developers to build, train, and deploy models; and launched a wide range of services that allow customers to add AI capabilities like image recognition, forecasting, and intelligent search to applications with a simple API call."

"Announcing Amazon Bedrock and Amazon Titan models, the easiest way to build and scale generative AI applications with FMs"

"First, they need a straightforward way to find and access high-performing FMs that give outstanding results and are best-suited for their purposes."

"We took all of that feedback from customers, and today we are excited to announce Amazon Bedrock, a new service that makes FMs from AI21 Labs, Anthropic, Stability AI, and Amazon accessible via an API."

"Bedrock will offer the ability to access a range of powerful FMs for text and images—including Amazon’s Titan FMs, which consist of two new LLMs we’re also announcing today—through a scalable, reliable, and secure AWS managed service."

"With Bedrock’s serverless experience, customers can easily find the right model for what they’re trying to get done, get started quickly, privately customize FMs with their own data, and easily integrate and deploy them into their applications using the AWS tools and capabilities they are familiar with, without having to manage any infrastructure"

"One of the most important capabilities of Bedrock is how easy it is to customize a model. Customers simply point Bedrock at a few labeled examples in Amazon S3, and the service can fine-tune the model for a particular task without having to annotate large volumes of data"

"Imagine a content marketing manager who works at a leading fashion retailer and needs to develop fresh, targeted ad and campaign copy for an upcoming new line of handbags. To do this, they provide Bedrock a few labeled examples of their best performing taglines from past campaigns, along with the associated product descriptions."

"None of the customer’s data is used to train the original base models, and since all data is encrypted and does not leave a customer’s Virtual Private Cloud (VPC), customers can trust that their data will remain private and confidential."

"With over tens of thousands of teams running on Coda, including large teams like Uber, the New York Times, and Square, reliability and scalability are really important.”"

"The first is a generative LLM for tasks such as summarization, text generation (for example, creating a blog post), classification, open-ended Q&A, and information extraction. The second is an embeddings LLM that translates text inputs (words, phrases or possibly large units of text) into numerical representations (known as embeddings) that contain the semantic meaning of the text."

"Independent Software Vendors (ISVs) like C3 AI and Pega are excited to leverage Bedrock for easy access to its great selection of FMs with all of the security, privacy, and reliability they expect from AWS."

"Announcing the general availability of Amazon EC2 Trn1n instances powered by AWS Trainium and Amazon EC2 Inf2 instances powered by AWS Inferentia2, the most cost-effective cloud infrastructure for generative AI"

"This ability to maximize performance and control costs by choosing the optimal ML infrastructure is why leading AI startups, like AI21 Labs, Anthropic, Cohere, Grammarly, Hugging Face, Runway, and Stability AI run on AWS."

"Trn1 instances, powered by Trainium, can deliver up to 50% savings on training costs over any other EC2 instance, and are optimized to distribute training across multiple servers connected with 800 Gbps of second-generation Elastic Fabric Adapter (EFA) networking."

"In 2018, we announced Inferentia, the first purpose-built chip for inference. Every year, Inferentia helps Amazon run trillions of inferences and has saved companies like Amazon over a hundred million dollars in capital expense already."

"They also have ultra-high-speed connectivity between accelerators to support large-scale distributed inference. These capabilities drive up to 40% better inference price performance than other comparable Amazon EC2 instances and the lowest cost for inference in the cloud."

"Customers like Runway are seeing up to 2x higher throughput with Inf2 than comparable Amazon EC2 instances for some of their models."

"Announcing the general availability of Amazon CodeWhisperer, free for individual developers"

"CodeWhisperer provides a productivity boost by generating an entire function that parses the string and returns the list as specified."

"During the preview, we ran a productivity challenge, and participants who used CodeWhisperer completed tasks 57% faster, on average, and were 27% more likely to complete them successfully than those who didn’t use CodeWhisperer."

"CodeWhisperer is the only AI coding companion with built-in security scanning (powered by automated reasoning) for finding and suggesting remediations for hard-to-detect vulnerabilities, such as those in the top ten Open Worldwide Application Security Project (OWASP), those that don’t meet crypto library best practices, and others."