Glossary term
Training Data
The labeled examples used to teach machine learning models.
What it is
The labeled examples used to teach machine learning models. In OdysseyGPT, Training Data matters because it turns raw documents into cited, reviewable outputs instead of opaque model responses.
Key Takeaways
- The labeled examples used to teach machine learning models.
- Training Data is most useful when accuracy must be verified against source documents.
- OdysseyGPT applies training data in governed document workflows rather than open-ended prompting alone.
Why it matters
Training data is the labeled dataset used to train machine learning models. For document AI, training data includes annotated documents showing correct extractions, classifications, or other target outputs. Quality and quantity of training data significantly impact model performance. Creating training data traditionally required extensive manual annotation, though techniques like few-shot learning and transfer learning reduce these requirements.
How OdysseyGPT uses it
OdysseyGPT is pre-trained on vast document corpora, meaning you don't need to provide training data for basic use. For specialized needs, we can incorporate your annotated examples to improve domain-specific performance. Our active learning approach ensures any corrections you make become training data for continuous improvement.
Evaluation questions
What is Training Data?
Training data is the labeled dataset used to train machine learning models. For document AI, training data includes annotated documents showing correct extractions, classifications, or other target outputs. Quality and quantity of training data significantly impact model performance. Creating training data traditionally required extensive manual annotation, though techniques like few-shot learning and transfer learning reduce these requirements.
Why does Training Data matter in enterprise document workflows?
Training Data matters because high-stakes teams need reliable retrieval, defensible outputs, and consistent review behavior across large document collections.
How does OdysseyGPT use Training Data?
OdysseyGPT is pre-trained on vast document corpora, meaning you don't need to provide training data for basic use. For specialized needs, we can incorporate your annotated examples to improve domain-specific performance. Our active learning approach ensures any corrections you make become training data for continuous improvement.