MLchartDataset catalogue

Fine-tuning

Term · Cybersecurity · MLC-T-CYB-001742

1. In machine learning, a training step that starts from a pre-trained model (sometimes called a foundation model) and adds task-or domain-specific information.

2. The process of adapting a pre-trained model to perform specific tasks or specialize in a particular domain. This phase follows the initial pre-training phase and involves further training the model on task-specific data. This is often a supervised learning task.

Table 1. Record
IdentifierMLC-T-CYB-001742
FieldCybersecurity
ReferencesNIST SP 800-226; NIST AI 100-2e2025; NIST CSRC Glossary
Record as JSON
{
  "id": "MLC-T-CYB-001742",
  "term": "Fine-tuning",
  "field": "Cybersecurity",
  "definition": "1. In machine learning, a training step that starts from a pre-trained model (sometimes called a foundation model) and adds task-or domain-specific information.\n\n2. The process of adapting a pre-trained model to perform specific tasks or specialize in a particular domain. This phase follows the initial pre-training phase and involves further training the model on task-specific data. This is often a supervised learning task.",
  "references": [
    "NIST SP 800-226",
    "NIST AI 100-2e2025",
    "NIST CSRC Glossary"
  ],
  "url": "https://mlchart.com/terminology/cybersecurity/fine-tuning/"
}

Record 1,736 of 4,669 in Cybersecurity terminology (MLC-0102). Request the full dataset.