I. Background
When building AI-driven applications, the quality of prompts has a significant impact on the results. However, creating high-quality prompts is challenging and requires a deep understanding of application requirements as well as expertise in large language models.
II. Features of the Anthropic Console
Generating Prompts
The console has a built-in prompt generator powered by Claude 3.5 Sonnet. Users only need to describe the task (such as "categorize incoming customer support requests"), and Claude can generate high-quality prompts.
You can also use Claude's test case generation feature to generate input variables for prompts (such as incoming customer support messages), then run the prompts to see Claude's responses, or manually enter test cases.
Generating Test Suites
Testing prompts against a range of real-world inputs helps to build confidence in their quality before deploying them to a production environment.
With the new evaluation feature, you can directly add or import test cases in the console (manually add or import from CSV, or use the "Generate Test Cases" feature to let Claude generate them automatically), modify test cases as needed, and then run all test cases with one click. You can also view and adjust Claude's understanding of each variable's generation requirements to more finely control the test cases generated by Claude.
Evaluating Model Responses and Iterating Prompts
The steps required to improve prompts are now fewer; you can create new versions of prompts and rerun test suites to quickly iterate and improve results.
You can also compare the outputs of two or more prompts side by side, and even have subject matter experts rate the quality of responses on a scale of 1 to 5 to see if the changes made have improved the quality of the responses.
III. Getting Started
The test case generation and output comparison features are available to all users of the Anthropic console. For more information on how to use Claude to generate and evaluate prompts, please refer to the relevant documentation.