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Atmrix

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Atmrix

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A

Anthropic Cast

09/06/24

@ Anthropic

It's important to evaluate prompts by testing them in real scenarios, as this can reveal flaws in the prompt design that need addressing.

Video

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AI prompt engineering: A deep dive

@ Anthropic

09/06/24

Related Takeaways

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Amanda Askell

09/06/24

@ Anthropic

It's crucial to think about edge cases when designing prompts, ensuring they work not just for typical scenarios but also for unusual inputs.

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Anthropic Cast

09/06/24

@ Anthropic

Reading prompts and model outputs closely helps improve prompting skills; experimentation is key.

YC

Y Combinator Cast

05/30/25

@ Y Combinator

When prompts become too complex, using examples can be more effective than trying to articulate every detail in prose, similar to test-driven development in programming.

A

Anthropic Cast

09/06/24

@ Anthropic

Integrating prompts within a system is complex; it's not just about writing a single prompt but considering how it fits into the overall architecture.

SS

Sander Schulhoff

06/19/25

@ Lenny's Podcast

Prompt engineering is crucial; bad prompts can lead to 0% accuracy, while good prompts can boost performance to 90%.

YC

Y Combinator Cast

02/09/24

@ Y Combinator

Developer tools for prompt engineering are gaining traction, allowing users to chain prompts and test their effectiveness, which is appealing to college students experimenting with AI.

A

Anthropic Cast

04/24/25

@ Anthropic

There's a risk of overcomplicating prompts by trying to anticipate every possible issue the model might face, which can lead to ineffective results.

AA

Amanda Askell

09/06/24

@ Anthropic

A good prompt engineer must communicate clearly, iterate on prompts, and anticipate potential misinterpretations by the model.

KW

Kevin Weil

04/10/25

@ Lenny's Podcast

You can enhance your prompting by including examples in your prompt. For instance, provide a problem and a good answer, and then ask the model to solve a similar problem.