Amazon (NASDAQ:AMZN) has upped the ante in the generative artificial intelligence (AI) race with the launch of its in-house AI model, Amazon Titan.
The new generative AI model is aimed at corporate customers via Amazon Web Services (AWS), the company's cloud computing platform.
With this new venture, Amazon aims to "democratise" machine learning (ML) and make it accessible to more than 100,000 customers of all sizes and industries.
The company boasts of having the broadest and deepest portfolio of AI and ML services available on the market, making it a one-stop-shop for customers looking to harness the power of AI.
To complement the AI model, Amazon has also launched Amazon Bedrock, which allows customers to build and scale generative AI-based applications easily, using their data while remaining secure and private.
With the launch of Amazon Bedrock and Amazon Titan services, AWS customers can easily leverage the power of foundational models (FMs) and generative AI to drive new levels of productivity and transform their offerings in the new AI-powered competitive market.
This move by Amazon intensifies the already exciting AI race, with the company joining the likes of Microsoft (NASDAQ:MSFT)'s ChatGPT-powered Bing and Google (NASDAQ:GOOGL)'s Bard, but distinguishing itself by providing access to corporate customers.
Deep learning. Large language models. Vast capabilities. ☁️????????From chatbots to code generation, learn how #GenerativeAI is redefining #ML-powered capabilities—& how you can build & use large language on #AWS. #MachineLearning #AI
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— Amazon Web Services (@awscloud) April 13, 2023
Broadest and deepest portfolio
AWS vice president Swami Sivasubramanian said: “At AWS, we have played a key role in democratising ML and making it accessible to anyone who wants to use it, including more than 100,000 customers of all sizes and industries.
“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.
“This is why customers like Intuit (NASDAQ:INTU), Thomson Reuters (NYSE:TRI) (Thomson Reuters (NYSE:TRI)), AstraZeneca (NASDAQ:AZN), Ferrari (NYSE:NYSE:RACE) (Ferrari (NYSE:RACE)), Bundesliga, 3M (NYSE:MMM), and BMW, as well as thousands of startups and government agencies around the world, are transforming themselves, their industries, and their missions with ML.
“We take the same democratising approach to generative AI: we work to take these technologies out of the realm of research and experiments and extend their availability far beyond a handful of startups and large, well-funded tech companies.
“That’s why today I’m excited to announce several new innovations that will make it easy and practical for our customers to use generative AI in their businesses.”
Build & scale your #GenerativeAI apps with Amazon Bedrock. ????☁️Learn how access to leading foundation models makes it easy to build apps quickly while keeping your data private & safe.
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— Amazon Web Services (@awscloud) April 13, 2023
Seamless app integration
Generative AI, powered by FMs, is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music.
Recent advancements in machine learning have led to FMs containing billions of parameters, making them capable of learning complex concepts and applying their knowledge across a wide range of contexts.
Customised FMs can create a unique customer experience that embodies a company's voice, style, and services across various industries, such as banking, travel, and healthcare.
However, customers face several challenges in leveraging FMs and generative AI, such as finding high-performing FMs suited to their purposes, seamless integration into applications, and secure and private customisation of their data.
To address these challenges, AWS launched Amazon Bedrock, a new service that makes FMs from AI21 Labs, Anthropic, Stability AI, and Amazon accessible via an API. Bedrock enables customers to build and scale generative AI-based applications easily, using their own data and staying completely protected, secure and private.
Additionally, AWS has launched Amazon Titan models, an FM that is pre-trained on diverse and massive datasets and is suitable for a wide range of generative AI applications.