Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success<\/em>. Learn More<\/a><\/em><\/p>\n

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Yesterday Amazon launched Bedrock<\/a> for generative AI, a landscape-shaking move that also escalated the cloud AI wars<\/a> that have been heating up over the past year. <\/p>\n
Bedrock, a new AWS cloud service, allows developers to build and scale generative AI<\/a> chatbots and other applications in the cloud, using internal organizational data to fine-tune on a variety of leading pretrained large language models (LLMs) from Anthropic<\/a>, AI21<\/a> and Stability AI<\/a>, as well as two new LLMs in Amazon\u2019s Titan model family. <\/p>\n
Amazon CEO Andy Jassy spoke directly about the AWS focus on enterprise AI with Bedrock when speaking to CNBC\u2019s Squawk Box<\/em><\/a> yesterday. <\/p>\n
\u201cMost companies want to use these large language models, but the really good ones take billions of dollars to train and many years, and most companies don\u2019t want to go through that,\u201d he said. \u201cSo what they want to do is they want to work off of a foundational model that\u2019s big and great already and then have the ability to customize it for their own purposes. And that\u2019s what Bedrock is.\u201d<\/p>\n
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According to Gartner analyst Sid Nag, with the buzz and excitement around generative AI news from Google and Microsoft, Amazon was overdue to follow suit.<\/p>\n
\u201cAmazon had to do something<\/em>,\u201d he told VentureBeat in an interview. \u201cThe cloud providers are obviously best suited to handle data-heavy generative AI, because they are the ones that have these hyperscale cloud computing storage offerings.\u201d <\/p>\n
Bedrock, he explained, provides a meta layer of usability for foundation models on AWS. Amazon is also notably calling out its ability to provide a secure environment for organizations to use this type of AI, he added. \u201cOrganizations want to create their own walled garden in a generative AI model, so I think you\u2019ll see more and more of that,\u201d he said. <\/p>\n
In addition, Amazon\u2019s Code Whisperer announcement, which is a AI-driven coding companion that uses an LLM under the hood and supports Python, Java, JavaScript and other languages, is also a key effort to make sure AWS competes in cloud AI, Nag said. <\/p>\n
Bedrock\u2019s multiple models makes Amazon\u2019s AWS attractive<\/h2>\n
Emad Mostaque, CEO of Stability AI, pointed out that Bedrock\u2019s offering of multiple models including Stable Diffusion plays to Amazon\u2019s history of focusing on choice. \u201cIn his original plan to $100 billion of revenue, Jeff Bezos envisioned that half that revenue would be Amazon products and half third party through their marketplace,\u201d he told VentureBeat in a message. <\/p>\n
While it may have been surprising that Cohere<\/a> was not on the list of Bedrock models \u2014 it is available on SageMaker and AWS \u2014 Cohere CEO Aidan Gomez said the company decided not to participate in the Bedrock product at this time. \u201cWe may change our opinion and join the \u2018model zoo\u2019 in the future, but we decided not to be a part of this initial release,\u201d he told VentureBeat by email. <\/p>\n
But Yoav Shoham, cofounder and co-CEO of AI21 Labs, focused on the fact that AWS has curated a set of best-in-class models. \u201cThere is a class of text-based applications particularly well served by Jurassic-2\u2019s multilingual, multisized models,\u201d he told VentureBeat by email. \u201cWe look forward to enabling, jointly with AWS, the creation of many such applications.\u201d<\/p>\n
Low-code platform Pega<\/a> was noted in AWS VP Swami Sivasubramanian\u2019s blog post<\/a> yesterday as one of Bedrock\u2019s early adoptors. Peter van der Putten, director of the AI lab at\u00a0Pega,\u00a0said the company intends to use Bedrock for a range of use cases in their platform, which they will make available to its customers. <\/p>\n
\u201cFor example, just based on a simple sentence such as \u2018create a dental insurance claim application,\u2019 we can generate a runnable prototype low-code app including workflow, data models and other artifacts, which will jumpstart, democratize and accelerate development of low-code business applications,\u201d he said. \u201cThere are also other areas in our low-code platform where we leverage it, such as allowing users to ask for reports just using natural language.\u201d <\/p>\n
The desire for multicloud will keep the cloud AI competition going<\/h2>\n
What makes Amazon very attractive for Pega and its customers, he added, is Bedrock\u2019s access to a wide range of models, commercial as well as open source, in \u201ca safe, enterprise-scale manner,\u201d he said. But he also called out the importance of multicloud options: \u201cIn addition to this, our clients will also be able to access OpenAI<\/a> models through Azure, and we are in discussion with other major cloud players as well, plus keeping a close eye on open source, for the most sensitive applications.\u201d <\/p>\n
That, says Gartner\u2019s Nag, is the irony of the cloud AI wars. <\/p>\n
\u201cThe fundamental premise of building a generative AI model is democratization of data \u2014 the more information you have, the higher the fidelity of the response,\u201d he said. \u201cBut the whole philosophy and approach that cloud providers have historically taken is \u2018I should own everything, everything should run in my estate.\u2019 So on the one hand, they want to be very predatory, but on the other hand, are they willing to share data across multiple estates?\u201d <\/p>\n
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\n Sharon Goldman<\/p>\n","protected":false},"excerpt":{"rendered":"
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Event<\/h3>\n\nTransform 2023<\/span><\/p>\n