Understand the development lifecycle of a large language model (LLM) app

Before understanding how to work with prompt flow, let’s explore the development lifecycle of a Large Language Model (LLM) application.

The lifecycle consists of the following stages:

1. Initialization: Define the use case and design the solution.
2. Experimentation: Develop a flow and test with a small dataset.
3. Evaluation and refinement: Assess the flow with a larger dataset.
4. Production: Deploy and monitor the flow and application.

During both evaluation and refinement, and production, you might find that your solution needs to be improved. You can revert back to experimentation during which you develop your flow continuously, until you’re satisfied with the results.

Let’s explore each of these phases in more detail.

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