language models Archives

UReason webinar title card reading 'Can large language models transform process control?', with a presenter against a chalkboard background.

Using Large Language Models in Manufacturing

Gain insight into how Large Language Models in Manufacturing improve process, control, and asset management decisions.

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UReason webinar promotion card: 'Using Large Language Models in Manufacturing - improving manufacturing decisions with large language models', with a photograph of a process plant and the speaker Jules Oudmans.

Webinar: Using Large Language Models in Manufacturing

A webinar on how Large Language Models combined with time-series data provide context-aware decision support for process control and assets.

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Pipeline diagram for UReason's large language model work: maintenance manuals, inspection data, time series, control valve and actuator data as inputs, with programming, prompt engineering and GPU as requirements, feeding language understanding, contextual recommendations and chatbot components through training data and text summarisation, to deliver contextual recommendations, over 75 percent accuracy and predictions to users.

Large Language Models – What We Did

We investigated using Large Language Models in Asset Performance Management: finding missing information, locating assets and comparing health scores.

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Large Language Models – Our Use Case

Why UReason applied Large Language Models to the Control Valve App – driven by the scarcity of knowledge and expertise in industry.

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Large Language Models

Large Language Models are a deep learning method within Natural Language Processing – ChatGPT, LLaMa and Bert are the best-known examples.

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