Generating natural language recommendations based on an industrial language model

A system comprising:

• a first computing device, including a data processor and configured to receive and transmit an input describing a task performed within an oil and gas production environment;
• and
• a second computing device coupled to the first computing device via a network, the second computing device including a processor and a memory storing computer-readable instructions and a plurality of prediction models, the processor configured to execute the computer-readable instructions, which when executed, cause the processor to perform operations including
• receiving the input transmitted from the first computing device, the input including a plurality of natural language input units and an image of a piece of machinery associated with the task;
• determining an output, the output determined using the transmitted input and a predictive model trained to receive natural language input units and, in response to the receiving, generate an output corresponding to a lexicon of the oil and gas production environment, the output including a plurality of natural language output units predicted to correspond to the input and to the image, the plurality of natural language output units included in the lexicon;
• and
• transmitting the output to the first computing device, the transmission causing the first computing device to provide the output for display.

A non-transitory computer readable storage medium containing program instructions, which when executed by at least one data processor causes the at least one data processor to perform operations comprising:

• receiving an input provided to a first computing device, including a data processor, the input describing a task performed within an oil and gas production environment and including a plurality of natural language input units and an image of a piece of machinery associated with the task;
• transmitting the input, to a second computing device including a data processor, the transmission performed by the first computing device over a network;
• determining an output, by the second computing device, the output determined using the transmitted input and a predictive model trained to receive natural language input units and, in response to the receiving, generate an output corresponding to a lexicon of the oil and gas production environment, the output including a plurality of natural language output units predicted to correspond to the input and to the image, the plurality of natural language output units included in the lexicon;
• and
• transmitting the output, by the second computing device, to the first computing device, the transmission causing the first computing device to provide the output for display.