Glossary term
Ground Truth
The verified correct answer used to train and evaluate AI systems.
Last reviewed by the OdysseyGPT team
What it is
The verified correct answer used to train and evaluate AI systems. In OdysseyGPT, Ground Truth matters because it turns raw documents into cited outputs you can review. You don't get a black-box answer.
Key Takeaways
- The verified correct answer used to train and evaluate AI systems.
- Ground Truth is most useful when accuracy must be verified against source documents.
- OdysseyGPT uses ground truth inside controlled document workflows, not just open-ended prompts.
Why it matters
Ground truth refers to the known correct answer used to train machine learning models and evaluate their performance. In document AI, ground truth includes human-verified extractions, correct classifications, and accurate answers to questions. Creating ground truth typically requires expert human annotation. Ground truth enables measuring accuracy, identifying errors, and improving model performance through training.
How OdysseyGPT uses it
OdysseyGPT uses ground truth for model evaluation and improvement. We maintain benchmark datasets with verified extractions and answers. Customer corrections become ground truth that improves future performance. We can work with customers to develop ground truth datasets for specialized evaluation of their specific use cases.
Evaluation questions
What is Ground Truth?
Ground truth refers to the known correct answer used to train machine learning models and evaluate their performance. In document AI, ground truth includes human-verified extractions, correct classifications, and accurate answers to questions. Creating ground truth typically requires expert human annotation. Ground truth enables measuring accuracy, identifying errors, and improving model performance through training.
Why does Ground Truth matter in enterprise document workflows?
Ground Truth matters because high-stakes teams need to find the right text, defend their answers and review the same way across large document sets.
How does OdysseyGPT use Ground Truth?
OdysseyGPT uses ground truth for model evaluation and improvement. We maintain benchmark datasets with verified extractions and answers. Customer corrections become ground truth that improves future performance. We can work with customers to develop ground truth datasets for specialized evaluation of their specific use cases.
Frequently asked questions
How is ground truth created?
Usually through expert human labelling. People review documents and record the correct extractions, classifications or answers. These become the gold standard for evaluation.
Why does ground truth matter?
Without ground truth, you can't measure accuracy. Ground truth enables quantifying performance, identifying weaknesses, and tracking improvement over time.