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Anthropic, a leader in AI development, has unveiled new tools aimed at enhancing the prompt generation and evaluation process for AI developers. These features are designed to speed up development and improve the quality of AI-powered applications, according to Anthropic.

Streamlining Prompt Creation

The new tools in the Anthropic Console include a built-in prompt generator powered by Claude 3.5 Sonnet. This feature allows developers to simply describe a task, such as ‘Triage inbound customer support requests,’ and have Claude generate a high-quality prompt. This simplifies the process of crafting effective prompts, which traditionally requires deep knowledge of the application’s needs and expertise with large language models.

Automatic Test Case Generation

To further assist developers, Anthropic has introduced a test case generation feature. This allows users to generate input variables for their prompts and test them to see Claude’s responses. Developers can either use automatically generated test cases or enter them manually, providing flexibility in how they validate their prompts.

Comprehensive Testing and Evaluation

Anthropic’s new Evaluate feature enables developers to test prompts against a range of real-world inputs directly within the Console. Users can manually add or import test cases from a CSV file or have Claude auto-generate them. This feature also allows developers to modify test cases and run them all with a single click, providing a streamlined approach to prompt evaluation.

Additionally, developers can now compare the outputs of multiple prompts side by side and have subject matter experts grade response quality on a 5-point scale. These capabilities enable quicker iterations and improvements in prompt quality, enhancing overall model performance.

Getting Started

The new test case generation and output comparison features are available to all users on the Anthropic Console. For more details on how to generate and evaluate prompts with Claude, users can refer to Anthropic’s documentation.

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