According to Alkymi, the GPT-powered feature Summarization Pattern is able to summarize any document in over 95 languages directly on its Data Acceleration Platform.
Alkymi, an Intelligent Document Processing (IDP) vendor, announced April 11 that its Data Acceleration Platform is now powered by GPT (generative pre-trained transformer) to summarize documents for business users.
The new feature is called Summarization Pattern and summarizes a document into a list of important bullet points. This makes it one of the first business systems for unstructured data with support for GPT-powered automation tools and workflow functions.
A month ago, Alkymi had already released a new GPT-powered feature called Question Tool. With this tool, the user can ask questions like “What is the sender’s address?” in a document and receive an answer, regardless of whether the data is in a form, table or buried in unstructured text.
We recently covered in a Weekly Recap what LLMs (Large Language Models) could mean for Intelligent Document Processing and how IDP vendors are responding.
New York-based Alkymi offers an Intelligent Document Processing (IDP) platform and data workflow automation solution that transforms enterprise workflows by putting machine learning and automation technology in the hands of business users.
The full press release can be found here.
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