Amazon.com Inc is joining Microsoft and Google in the generative artificial intelligence (AI) race. The company has announced a new generative AI technology called Bedrock that developers can use to enhance their software with AI systems that can generate text, similar to the engine behind the popular ChatGPT chatbot from Microsoft-backed startup OpenAI.
Through the Bedrock generative AI service, Amazon’s enterprise cloud service, Amazon Web Services (AWS), plans to announce two of its own large-language models, called Titan. One is designed to generate text, and another that could help power web search personalisation, among other things. Titan has reportedly been trained on vast amounts of text to summarise content, write a draft of a blog or engage in open-ended question-and-answer sessions. The AI language models will be made available to AWS customers on the company’s cloud
marketplace. Developers can tap into these models built by other companies.
AWS had previously partnered with artificial intelligence companies including Hugging Face Inc and Stability AI. However, Amazon hadn’t revealed plans to release a homegrown large-language model.
During a preview period that starts April 13, AWS customers can apply to use the models.
Amazon said that the company hasn’t yet decided on pricing to access the tools.
Accuracy of the AI model
AWS vice president Bratin Saha told CNBC in an interview that Amazon is “really concerned about” accuracy and ensuring that its Titan models produce high-quality responses. “Clients will be able to customize Titan models with their own data. But that data will never be used to train the Titan models, ensuring that other customers, including competitors, don’t end up benefiting from that data,” said another vice president Swami Sivasubramanian.
Amazon is not joining ChatGPT race
Generative AI is the technology behind AI chatbots like OpenAI’s ChatGPT and image-generation tools such as Dall-E. However, Amazon is not following Microsoft and Google in this race. Amazon said that it has no plans to release a chatbot like ChatGPT or Bard, backed by Microsoft and Google respectively.
(With agency inputs)
Through the Bedrock generative AI service, Amazon’s enterprise cloud service, Amazon Web Services (AWS), plans to announce two of its own large-language models, called Titan. One is designed to generate text, and another that could help power web search personalisation, among other things. Titan has reportedly been trained on vast amounts of text to summarise content, write a draft of a blog or engage in open-ended question-and-answer sessions. The AI language models will be made available to AWS customers on the company’s cloud
marketplace. Developers can tap into these models built by other companies.
AWS had previously partnered with artificial intelligence companies including Hugging Face Inc and Stability AI. However, Amazon hadn’t revealed plans to release a homegrown large-language model.
During a preview period that starts April 13, AWS customers can apply to use the models.
Amazon said that the company hasn’t yet decided on pricing to access the tools.
Accuracy of the AI model
AWS vice president Bratin Saha told CNBC in an interview that Amazon is “really concerned about” accuracy and ensuring that its Titan models produce high-quality responses. “Clients will be able to customize Titan models with their own data. But that data will never be used to train the Titan models, ensuring that other customers, including competitors, don’t end up benefiting from that data,” said another vice president Swami Sivasubramanian.
Amazon is not joining ChatGPT race
Generative AI is the technology behind AI chatbots like OpenAI’s ChatGPT and image-generation tools such as Dall-E. However, Amazon is not following Microsoft and Google in this race. Amazon said that it has no plans to release a chatbot like ChatGPT or Bard, backed by Microsoft and Google respectively.
(With agency inputs)
Related Posts
Denial of responsibility! TechnoCodex is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you are the owner of the content and do not want us to publish your materials, please contact us by email – [email protected]. The content will be deleted within 24 hours.
