Don't Know How to Write Prompts? Look Here!
Don't Know How to Write Prompts? Look Here!
In the realm of AI application development, the quality of prompts significantly impacts the results. However, crafting high-quality prompts can be challenging, requiring researchers to have a deep understanding of application needs and expertise in large language models. To expedite development and improve outcomes, AI startup Anthropic has streamlined this process, making it easier for users to create high-quality prompts.
Specifically, researchers have added new features to the Anthropic Console, allowing for the generation, testing, and evaluation of prompts.
Anthropic's prompt engineer Alex Albert stated: "This is the result of significant work over the past few weeks, and now Claude excels in prompt engineering."
Difficult Prompts? Leave It to Claude
In Claude, writing a good prompt is as simple as describing the task. The console includes a built-in prompt generator powered by Claude 3.5 Sonnet, which allows users to describe tasks and have Claude generate high-quality prompts.
Generating Prompts: First, click on "Generate Prompt" to enter the prompt generation interface:
Then, input the task description, and Claude 3.5 Sonnet will convert the task description into a high-quality prompt. For example, "Write a prompt for reviewing inbound messages...," then click "Generate Prompt."
Generating Test Data: If users have a prompt, they might need some test cases to run it. Claude can generate those test cases.
Users can modify the test cases as needed and run all test cases with a single click. They can also view and adjust Claude's understanding of the requirements for each variable, enabling finer control over Claude's test case generation.
These features make optimizing prompts easier, as users can create new versions of prompts and rerun the test suite to quickly iterate and improve results.
Additionally, Anthropic has set a five-point scale for evaluating Claude's response quality.
Evaluating the Model: If users are satisfied with the prompt, they can run it against various test cases in the "Evaluation" tab. Users can import test data from CSV files or use Claude to generate synthetic test data.
Comparison: Users can test multiple prompts against each other in test cases and score the better responses to track which prompt performs best.
AI blogger @elvis stated: "Anthropic Console is an outstanding tool, saving a lot of time with its automated design and prompt optimization process. While the generated prompts may not be perfect, they provide a quick iteration starting point. Additionally, the test case generation feature is very helpful, as developers may not have data available for testing."
It seems that in the future, writing prompts can be entrusted to Anthropic.
For more information, please check the documentation: https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview.
