Amazon joins the AI ​​race

by nativetechdoctor
2 minutes read

In the context of artificial intelligence (AI) developing explosively, Amazon officially joined the race of artificial intelligence, blowing heat on Google and Microsoft. Amazon Web Services (AWS) will provide the Bedrock service, allowing businesses to customize the platform model with their own data to create models and chatbots.

cloud computing division According to Reuters, Amazon has just launched technology to help other companies develop their own chatbots and AI image creation services.

Microsoft and Alphabet are integrating AI chatbots into products, but they’re also eyeing another huge market – cloud business.

As the world’s largest cloud computing provider, Amazon has approached the AI ​​race in a different direction. AWS will offer a service called Bedrock that will allow businesses to customize so-called platform models — core AI technology that helps with things like responding to queries with text conversations or generating images from text conversations. prompts, using the customer’s own data to create a unique application. This approach is similar to OpenAI, which is providing a service that allows customers to create custom chatbots based on the models behind ChatGPT

According to NBC, the Bedrock service will allow customers to manipulate an Amazon Titan model, which can help users create text for blog posts, emails, or other documents, and provide other models to customers. from startups AI21 Labs, Anthropic, and Stability AI, to assist in search and personalization, and text-to-image conversion.

The Bedrock service allows customers to test-run the above technologies without having to deal with the data center servers that power them. Amazon claims the infrastructure that powers the Bedrock service will use a combination of Amazon’s proprietary AI chips (AWS Trainium and AWS Inferentia) and Nvidia’s GPUs.

Bratin Saha – Vice President of AWS emphasized that the company cares deeply about accuracy and ensures their Titan models generate high-quality responses.

Customers can customize Titan models with their own data. But that data will never be used to train Titan models, ensuring other customers, including competitors, will not benefit from that data

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