MLchartDataset catalogue

Prompt engineering

Term · Oil and gas · MLC-T-OAG-002973

The process of designing, refining, and structuring text inputs to guide a generative artificial intelligence model toward producing a desired output. It involves crafting clear instructions, providing relevant context, and formatting examples to control the model's response style, tone, and content. Effective prompt engineering transforms a general-purpose model into a specialized tool for tasks like summarizing technical reports or generating code for data analysis, without altering the model's underlying weights.

Table 1. Record
IdentifierMLC-T-OAG-002973
FieldOil and gas
SubjectDigital
Record as JSON
{
  "id": "MLC-T-OAG-002973",
  "term": "Prompt engineering",
  "field": "Oil and gas",
  "definition": "The process of designing, refining, and structuring text inputs to guide a generative artificial intelligence model toward producing a desired output. It involves crafting clear instructions, providing relevant context, and formatting examples to control the model's response style, tone, and content. Effective prompt engineering transforms a general-purpose model into a specialized tool for tasks like summarizing technical reports or generating code for data analysis, without altering the model's underlying weights.",
  "subject": "Digital",
  "url": "https://mlchart.com/terminology/oil-and-gas/prompt-engineering/"
}

Record 3,164 of 4,469 in Oil and gas terminology (MLC-0103). Request the full dataset.