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Amazon entries into the generative AI industry with Bedrock and Titan LLMs.
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Forbes estimates that AWS alone could be valued at nearly $400 billion.
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AWS revenue has grown at a CAGR of 53% over 2014-2018
In a recent blog post, Amazon Web Services (AWS) has announced its entry into the rapidly growing generative AI industry. The company has introduced Amazon Bedrock, a new service that allows AWS customers to create their own apps using generative AI. Additionally, Amazon has also released two new large language models (LLMs) that the company calls Titan.
The Bedrock service is designed to make it easy for software developers to use LLMs or foundation models (FMs) from companies such as AI21 Labs, Anthropic, and Stability AI. For instance, a content marketing manager can provide a few labeled examples of their best-performing taglines from past campaigns, along with the associated product descriptions, and Bedrock will automatically generate effective social media, display ad, and web copy for the new handbags. Deloitte, Accenture, and Linksys will be among the first brands to integrate the new system during its limited preview.
Amazon’s new Titan LLMs comprise one model that generates text and another that is designed for embeddings. The company has been previewing these models with a few customers before making them available more broadly in the coming months.
Swami Sivasubramanian, AWS’s vice-president of data and machine learning, views the launch of Bedrock and the Titan LLMs as an inflection point in the widespread adoption of machine learning. He believes that generative AI can reinvent most customer experiences and applications. Sivasubramanian also notes that while Amazon may not be the first company that comes to mind when people think of AI and ML, it has been a pioneering force in the field for over 20 years. Many of the capabilities customers use with Amazon are driven by ML, including its e-commerce platform, Prime Air, Amazon Go, and Alexa.
Amazon’s announcement highlights the company’s commitment to democratizing ML and making it accessible to anyone who wants to use it. The company takes the same democratizing approach to generative AI, working to extend its availability beyond a handful of startups and large, well-funded tech companies.
