Title: 1 Understanding The Model Behavior
Course: LLM_Prompt_Engineering_For_Developers > Section: Module 3: 1 Understanding The Model Behavior

1. Understanding the Model Behavior

Description:

Before diving into strategies, it’s important to understand why LLMs might produce unexpected results. The models are trained on vast datasets and may generate outputs based on patterns seen during training rather than specific logic.

Example:

If you ask, “What’s the capital of France?” the model should correctly respond with “Paris.” However, if the model answers “London,” it’s likely due to the patterns it learned rather than an outright error in logic.

Strategy:

- Analyze Outputs: When receiving an unexpected output, analyze why the model may have produced it. Understanding the context and the model’s training data informs improvement.

2. Refining Prompts