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Large language models to support conversational AI with avatar dialogs

Project duration: 4 months

Brief description

In collaboration with students of business informatics, an application is to be developed that extracts data from a document archive using an LLM model (Large Language Model).

Supplement

PTA staff supervised four students in their task of researching and comparing suitable technologies. The focus is on the frameworks LlamaIndex and LangChain and the software AnythingLLM.

Subject description

The developed application runs locally so that sensitive data is not sent to a third-party provider and uses the AnythingLLM software. Furthermore, it has a modular structure so that the components Vectorstore, for storing the data archive, Embedding, for embedding the data in an abstract space, and Language Model can be exchanged as required.

Overview

Project period26.03.2024 - 23.07.2024

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