11/12/2023 0 Comments WhatsApp download the new for mac![]() With Amazon Bedrock’s comprehensive capabilities, customers can easily experiment with a variety of top FMs and customize them privately with their proprietary data. Since the data customers want for customization is incredibly valuable intellectual property, it must stay completely protected, secure, and private during that process, and customers want control over how the data is shared and used. Finally, customers want easy ways to use the base FM and build differentiated apps with their data. Second, customers want application integration to be seamless, without managing huge clusters of infrastructure or incurring large costs. First, they need a straightforward way to find and access high-performing FMs that give outstanding results and are best suited to their purposes. However, a few things stand in the way of most businesses looking to adopt generative AI. The flexibility of FMs makes them applicable to a wide range of use cases, powering everything from search to content creation to drug discovery. FMs are very large machine learning (ML) models that are pre-trained on vast amounts of data. Amazon Bedrock is now generally available to help more customers build and scale generative AI applicationsĪnnounced in April, Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI companies available through a single application programming interface (API). ![]() For a deeper technical dive, head to the AWS Machine Learning blog.ġ. ![]() Here is all the news from the AWS announcement.
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