Focus on this objective today: Generate and nurture leads: Fine-tune the predictive scoring model. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Fine-tune language models with Azure Databricks Module 7 Units Feedback Intermediate Data Engineer Azure Databricks Fine-tuning uses Large Language Models' (LLMs) general knowledge to improve performance on specific tasks, allowing organizations to create specialized models that are more accurate and relevant while saving resources and time compared to training from scratch. Learning objectives In this module, you learn how to: Understand when to use fine-tuning. Prepare your data for fine-tuning.
Objective
Generate and nurture leads: Fine-tune the predictive scoring model