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Amazon Ai: After Google and Meta, now Amazon is bringing its own Generative AI

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Amazon Ai: AI ​​just keeps getting better over time. With its launch, many companies like Google and Meta have introduced their Generative AI. Now Amazon is also moving in this direction. Yes, Amazon is also bringing its new Generative AI which will be used on a large scale. Let us know about it in detail.

When ChatGPT was launched in November 2022, probably no one would have thought about it today. Yes, over time Generative AI has captured the imagination of people. Everyone knows it and even Andy Jassy, ​​CEO of Amazon, talks about it.

Jesse said during the company’s investors call that he is aware of AI, but added that most people are talking about the application layer, specifically what OpenAI has done with ChatGPT . Jesse said it’s still early days for AI adoption and consumer applications are only one layer of the opportunity.

Amazon will start Generative AI

That’s why Amazon’s AI push comes as no surprise and Jesse detailed how the company plans to use AI in a big way. He added that inside Amazon, every one of our teams is working on building generative AI applications that reinforce and improve the experience for their customers.

Amazon’s approach to AI

Jesse said there are three major layers to generative AI, and Amazon is heavily involved in it. According to Jesse, the first layer is the computation required to train the basic model and make new inferences or predictions.

The second layer is the larger language models as a service, which is where Amazon’s Bedrock comes in. Amazon’s CEO said companies want access to large language models before they can “customize them with their data without leaking their proprietary rights.” Data in the normal model, all the security, privacy and platform features in AWS work with this new advanced model and are then secured in a managed service.

The third layer is the applications that run on the larger language model and ChatGPT is a good example.

AWS not only has the widest range of storage, database, analytics, and data management services for customers, but it also has more customers and data stores than any other.

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