UiPath drives generative AI apps with Amazon Bedrock
UiPath has announced a new Integration Service Connector (ISC) designed to give users access to Amazon Bedrock, a fully managed service that provides access to foundation models (FMs) via an API to build and scale generative AI applications.
Amazon Bedrock offers foundation models from AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI and Amazon with a single API.
With Amazon Bedrock, users can experiment with a variety of FMs, privately customize them with data using techniques such as fine-tuning and retrieval augmented generation (RAG) and create managed agents that execute complex business tasks – from booking travel and processing insurance claims to creating ad campaigns and managing inventory – all without writing any code.
Essentially serverless, Amazon Bedrock means users don’t have to manage any infrastructure and users can integrate and deploy generative AI capabilities into your applications using AWS services.
UiPath provides organisations with a platform for implementing AI-powered automation.
Connector selector
Using UiPath’s connector for Amazon Bedrock, automation developers and citizen developers alike can integrate generative AI directly in their UiPath Studio and Studio Web automations, using the model of their preference and within Amazon Web Services (AWS).
The connector supports text/chat capabilities through Amazon Titan FMs and several other FMs from AI providers via Amazon Bedrock, including the Jurassic-2 family of multilingual large language models (LLMs) from AI21 Labs, which follow natural language instructions to generate text in Spanish, French, German, Portuguese, Italian and Dutch.
Responsible AI
Users can also choose Claude, Anthropic’s LLM, which can perform a variety of conversational and text-processing tasks and is based on Anthropic’s research into training honest and responsible AI systems.
“The UiPath connector for Amazon Bedrock is simple to use and brings the power of foundation models to all UiPath customers so they can accelerate building their own Generative AI applications,” said Graham Sheldon, chief product officer at UiPath. “UiPath provides organisations with a platform for implementing and harnessing the power of AI-powered automation. This functionality complements our vision for helping customers innovate faster with Generative AI.”
Generative AI is powered by FMs – very large models that are pre-trained on vast amounts of data. According to AWS, “FMs can perform so many more tasks because they contain such a large number of parameters that make them capable of learning complex concepts. And through their pre-training exposure to internet-scale data in all its various forms and myriad of patterns, FMs learn to apply their knowledge within a wide range of contexts.”
In addition, since all data is encrypted and does not leave a customer’s Virtual Private Cloud (VPC), customers can trust that their data will remain private and confidential.
Earlier this year, UiPath also announced that data science teams using Amazon SageMaker, an end-to-end machine learning (ML) service, can now connect Amazon SageMaker-hosted ML models into UiPath business processes without the need for coding and manual effort.
By connecting Amazon SageMaker to UiPath, users can interact with deployed models via the connector and use their outputs in their workflows.
