AWS is preparing for the upcoming AWS re:Invent later this year, with a series of product updates based around intelligent automation and agentic AI. “We are seeing employability for some of these cloud models. We also have been busy launching some of our first party models with Nova,” said Atul Deo, director of product, AWS Bedrock, at AWS. Since announcing a new generation of foundation models at the last re:Invent, AWS has made intelligent prompt routing generally available. This tool enables users to combine the advantages of cheaper and larger, more capable models. Another product that offers the best of both worlds is Bedrock’s model distillation feature, which transfers intelligence from a larger model to a smaller, more specialized model. “We’ll generate additional data for the distillation process based on the prompts that a customer provides,” said Deo. “It can give a few indicator 30, 40 prompts of what it wants kind of generally for the distillation purpose. Then behind the scenes we can generate 10 times more data, which is basically synthetic data, then that synthetic data response of that larger model then gets used to essentially kind of make the smaller model more targeted and focused.” Two of the hottest areas for generative AI have been code generation and sales and marketing. Part of making AI a good assistant for customer service, code or even real estate is providing agents standardized access to relevant context through Model Context Protocol, according to Deo.