Anthropic has launched a new "prompt improver" feature within the Anthropic Console that can help developers write better prompts using various prompt engineering techniques. This tool is designed to make it easier to create high-quality, reliable AI prompts, crucial for building effective AI applications.
Why it matters: Prompt engineering has become a crucial skill for AI development, but implementing best practices can be time-consuming and complex. This tool makes this expertise more accessible to developers of all experience levels and results in responses that more accurate and reliable from Claude.
What's new: The prompt improver takes existing prompts and upgrades them through techniques like chain-of-thought reasoning, example standardization, and prompt rewriting.
- Chain-of-thought reasoning helps Claude systematically think through problems, boosting both accuracy and reliability.
- Standardizes examples using XML formatting ensures consistent formatting, making prompts easier for Claude to process.
- Example enrichment adds new reasoning steps to improve the overall quality of the prompt.
- Prefill addition helps direct Claude's actions by including initial guidelines in the prompt structure.
These improvements resulted in notable performance gains: a 30% accuracy increase in multilabel classification tasks and 100% adherence to word count requirements in summarization tests
How it works: Developers can submit a prompt, add feedback on current issues, and use the improver to see the revised prompt in real-time. If examples are lacking, Claude can generate synthetic inputs and outputs, making the process even more seamless.
The big picture: As generative AI becomes more integrated into workflows, prompt quality directly impacts model performance. Anthropic's new tool aims to lower the barrier to effective prompt engineering, allowing more developers to benefit from optimized AI interactions without needing deep expertise in crafting complex prompts.
Customer spotlight: Kapa.ai, a company turning technical knowledge bases into production-ready AI assistants, highlighted how the prompt improver helped them migrate workflows seamlessly to Claude 3.5 Sonnet, enabling faster production timelines. "Anthropic's prompt improver streamlined our migration to Claude 3.5 Sonnet and enabled us to get to production faster," said Finn Bauer, Co-Founder at Kapa.ai.
Try it out: These new capabilities are now live in the Anthropic Console. Developers can leverage prompt improvement, example management, and the ideal outputs evaluator to boost Claude's performance in their applications.