In this session we will share our advances and lessons learned in using Large Language Models (LLMs) in combination with time-series data. Our objective in evaluating LLMs is to judge if they are capable to provide valuable, context aware, decision support for process, process control and asset management decisions.
We have been researching how in addition to recommendations, provided by the Control Valve App, we can support our users with Large Language Models. These are a class of artificial intelligence models that are designed to understand and generate human language. These models are characterized by their immense size, as they are built upon deep neural networks with a vast number of parameters, often in the range of hundreds of millions to tens of billions. Large Language Models are pre-trained on massive amounts of text data, which allows them to learn the nuances of language and a wide range of linguistic tasks.
Join us in this interactive session at PPA 2024 where we also want to collect your feedback on the use of LLMs in manufacturing.
Ureason