By now, you probably know that the advent of consumer-facing AI tools like ChatGPT, Anthropic’s Claude, and Google’s Gemini changes everything. If so, you might also know that the results you get from these tools are only as good as the “prompts” (or queries) you enter.

Effective prompt engineering is way more complicated than doing a Google search. Knowing the tricks of prompt design is so important (and potentially complex) that some people even make a living as prompt engineers.

That’s why the big platforms have been using their AI to help humans write better prompts.

Earlier this week, Anthropic unveiled a suite of prompt engineering tools in its developer console, to simplify AI application development and challenge OpenAI’s dominance in the enterprise market. The star of the show, a “prompt improver,” automates best practices for prompt engineering and increases model accuracy by 30% in testing, Anthropic says.

Anthropic’s AI prompt improver.

Anthropic’s optimizer appears to be a direct response to a similar solution released by OpenAI last month.

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Author: Jose Antonio Lanz

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