New Delhi: Amazon has recently launched Bedrock, an API for Amazon Web Services (AWS) that allows developers to customize AI tools that generate images or text. This cloud-based alternative to OpenAI’s ChatGPT and DALL-E 2 is aimed at businesses and developers, offering a range of AI models to provide flexibility to customers.
Using Bedrock, AWS customers can write, summarize text, build chatbots, classify images, and more based on text prompts. The API gives users a choice of Amazon’s Titan foundation model (FM) and several startups’ models, including Anthropic’s Claude, AI21’s Jurassic-2, and Stable Diffusion. These models can be customized based on input, but Amazon states that the data won’t be used for training the models, addressing a crucial privacy concern for businesses entering sensitive data.
Amazon CEO Andy Jassy told that “Most 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’t want to go through that. So what they want to do is they want to work off of a foundational model that’s big and great already and then have the ability to customize it for their own purposes. And that’s what Bedrock is.”
Bedrock’s serverless experience allows for quick start-up, private customization of FMs with your own data, and easy integration and deployment using AWS tools and capabilities, including integrations with Amazon SageMaker ML features like Experiments to test different models and Pipelines to manage FMs at scale, without having to manage any infrastructure.
The launch of Bedrock is an indication of the growing importance of generative AI tools and the demand for cloud-based AI services. As more businesses look to integrate AI into their operations, cloud-based solutions like Bedrock provide a cost-effective and scalable alternative to developing AI capabilities in-house.
In conclusion, Bedrock is Amazon’s new API for AWS that allows developers to use and customize AI tools that generate text or images. It offers a range of AI models and allows customization based on input, addressing privacy concerns for businesses entering sensitive data. With a serverless experience, Bedrock provides a quick and easy solution for integrating and deploying AI capabilities, making it an attractive option for businesses looking to integrate AI into their operations.
