Why Is Data Management Crucial For Llmops
The process of collecting, cleaning, storing, and monitoring data used in training and operating large language models.
Areas of application
- Large Language Model Operations
- Machine Learning
- Data Science
- Artificial Intelligence
Example
Ensuring the quality and availability of training data for a machine learning model is critical for its performance. Without proper data management, the model may produce inaccurate or unreliable results.