MiningGPT -- A Domain-Specific Large Language Model for the Mining Industry
Demartini, Kurukulasooriya Fernando ana Gianluca
–arXiv.org Artificial Intelligence
Recent advancements of generative LLMs (Large Language Models) have exhibited human-like language capabilities but have shown a lack of domain-specific understanding. Therefore, the research community has started the development of domain-specific LLMs for many domains. In this work we focus on discussing how to build mining domain-specific LLMs, as the global mining industry contributes significantly to the worldwide economy. We report on MiningGPT, a mining domain-specific instruction-following 7B parameter LLM model which showed a 14\% higher mining domain knowledge test score as compared to its parent model Mistral 7B instruct.
arXiv.org Artificial Intelligence
Dec-2-2024
- Country:
- North America > United States
- New York > New York County > New York City (0.04)
- Oceania > Australia
- Queensland (0.04)
- North America > United States
- Genre:
- Research Report
- Experimental Study (0.94)
- New Finding (1.00)
- Research Report
- Industry:
- Information Technology > Security & Privacy (1.00)
- Materials > Metals & Mining (1.00)
- Technology: