Prompt engineering in the AI industry involves designing and iterating textual inputs, known as prompts, to improve the accuracy and effectiveness of generative AI models456. These prompts serve as the interface through which users communicate their desires to the model, enabling better responses and task performance1. Prompt engineering has applications in various domains, including image generation, language models, security mechanisms, and domain-specific AI models12.
Anthropic released several new features on Tuesday to help developers create more useful applications with the startup's language model, Claude4. Developers can now use Claude 3.5 Sonnet to generate, test, and evaluate prompts, using prompt engineering techniques to create better inputs and improve Claude's answers for specialized tasks. The features are housed within Anthropic Console under a new "Evaluate" tab.
Claude 3.5 Sonnet assists developers by generating, testing, and evaluating prompts for specialized tasks, offering quick feedback to improve inputs and enhance language model performance. It provides a range of scenarios for testing prompt effectiveness and allows side-by-side comparison and rating of sample answers. This saves time for both new and experienced prompt engineers and aids in the widespread enterprise adoption of generative AI.