Data quality plays a crucial role in Large Language Model Operations (LLMOps). High-quality data is essential for training effective models, ensuring accurate predictions, and maintaining the reliability of AI systems.

• Training effective models
• Ensuring accurate predictions
• Maintaining reliability of AI systems

For instance, a language model trained on low-quality data may struggle to understand complex sentences or idiomatic expressions, leading to inaccurate predictions and poor performance.

• The role of data quality in your data strategy