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AI Glossary

Training Data

The dataset used to train an AI model, which significantly influences its capabilities and biases.

TL;DR

  • —The dataset used to train an AI model, which significantly influences its capabilities and biases.
  • —Understanding Training Data is critical for effective AI for companies.
  • —Remova helps companies implement this technology safely.

In Depth

Training data determines what an AI model knows, how it behaves, and what biases it may exhibit. Understanding training data composition is important for assessing model suitability, predicting biases, and ensuring compliance. Enterprise governance should consider training data provenance when selecting models.

Related Terms

Foundation Model

A large AI model trained on broad data that can be adapted to many downstream tasks.

AI Bias

Systematic errors in AI outputs that result from biased training data or flawed model design.

Fine-Tuning

The process of further training a pre-trained AI model on specific data to customize its behavior for particular tasks.

Synthetic Data

Artificially generated data that mimics real-world data characteristics without containing actual sensitive information.

Knowledge Hub

Glossary FAQs

Training Data is a fundamental concept in the AI for companies landscape because it directly impacts how organizations manage the dataset used to train an ai model, which significantly influences its capabilities and biases.. Understanding this is crucial for maintaining AI security and compliance.
Remova's platform is built to natively manage and optimize Training Data through our integrated governance layer, ensuring that your organization benefits from this technology while mitigating its inherent risks.
You can explore our full AI for companies glossary, which includes detailed definitions for related concepts like Foundation Model and AI Bias.

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