AI Research
Series AI Research
As we build out the best Enterprise Operating System (EOS), we believe that applied AI research will have massive implications in the enterprise setting and for finance and operations teams in every organization. Series is dedicated to making the lives of our customers more efficient.
We will publish select R&D here that are used in production in different Series Products. See our open research below:
We will publish select R&D here that are used in production in different Series Products. See our open research below:
Unstructured data extraction
LLM Parser
Here at Series, we believe that one of the most important production use cases of generative AI right now is the ability to accurately extract structured data from unstructured data. We have adopted and applied enterprise-grade intelligent technology led and built by Kevin Yang.
LLMParser is an open source library that makes it easy for anyone to classify and extract structured data from text with large language models (LLMs). No prompt engineering or AI experience required.
LLMParser is an open source library that makes it easy for anyone to classify and extract structured data from text with large language models (LLMs). No prompt engineering or AI experience required.
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