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Knowledge Sharing in Manufacturing using Large Language Models: User Evaluation and Model Benchmarking
This paper introduces a Large Language Model (LLM)-based system designed to retrieve information from the extensive knowledge contained in factory documentation and knowledge shared by expert operators.
Enhancing Pipeline-Based Conversational Agents with Large Language Models
A hybrid approach in which LLMs' are integrated into the pipeline-based agents allows them to save time and costs of building and running agents by capitalizing on the capabilities of LLMs while retaining the integration and privacy safeguards of their existing systems.
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