Amazon Upgrades AWS Bedrock Generative AI Service With New Model and Conversational Agents
Amazon Web Services (AWS) is augmenting its generative AI app-building platform Bedrock with a new foundation model (FM) and the ability to deploy conversational AI agents. Generative AI startup Cohere will add its large language model to the Bedrock model marketplace alongside those from Anthropic, AI21, and Stability.ai.
Amazon Bedrock provides pre-built integrations with leading generative AI models like Anthropic’s Claude and Stability AI’s Stable Diffusion. This allows companies to easily leverage these complex AI systems via simple APIs without managing infrastructure to build apps like chatbots, image generators, and text analytics tools. AWS announced Amazon Bedrock is expanding its model marketplace through a new partnership with AI startup Cohere. Cohere built its natural language models to help businesses generate text summaries, engage in dialogue and answer questions.
“We are excited to expand our collaboration with AWS and offer our FMs on Amazon Bedrock. Our top-performing models are trained for business applications such as summarization, copywriting, dialog, extraction, and question answering,” Cohere senior vice president of engineering Saurabh Baji said. “This collaboration will provide our joint customers with the greatest possible flexibility in ways to access our cutting-edge technology. Bringing Amazon Bedrock and Cohere together offers customers intelligent systems so that developers and enterprises alike can innovate faster and more easily with AI.”
Cohere ups the variety of choices available in the model marketplace, but it’s not the only update to Bedrock. The platform has also incorporated the latest new Claude 2 and Stable Diffusion XL 1.0 from Antrhopic and and Stability AI, respectively. Regardless of the models employed, AWS is making a new feature available called Bedrock Agents, conversational AIs for performing customer service and other multi-step tasks in response to natural language prompts. For instance, an agent could process an insurance claim by gathering relevant customer data and invoking claims APIs. This removes the need for manual software coding to integrate generative models.
“Generative AI has the potential to transform every application, business, and industry. Advancements across data processing, compute, and machine learning are expediting the shift from experimentation to deployment for AWS customers of all sizes,” AWS vice president of database, analytics, and machine learning Swami Sivasubramanian said. “Through services like Amazon Bedrock and collaborations with industry leaders, we are democratizing access to generative AI, so wherever customers are on their machine learning journey, they can use AWS to reimagine experiences and bring new products to life.”