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Atmrix

About

A

Anthropic Cast

09/06/24

@ Anthropic

Reading model outputs closely is essential; it helps identify misunderstandings and refine prompts for better performance.

Video

A

AI prompt engineering: A deep dive

@ Anthropic

09/06/24

Related Takeaways

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Anthropic Cast

09/06/24

@ Anthropic

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

AA

Amanda Askell

09/06/24

@ Anthropic

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

SS

Sander Schulhoff

06/19/25

@ Lenny's Podcast

Including additional information or context in prompts significantly improves the model's understanding and output quality.

A

Anthropic Cast

09/06/24

@ Anthropic

The skill of prompting is about introspection, understanding what you want, and making yourself legible to the model.

AA

Amanda Askell

09/06/24

@ Anthropic

As models improve, it's often more effective to communicate the specific task directly rather than using metaphors or role-based prompts.

RH

Raza Habib

03/01/23

@ Y Combinator

When developing a new large language model product, it's essential to iterate on prompts to find what works best for your specific use case.

A

Anthropic Cast

09/06/24

@ Anthropic

When prompting, it's important to give the model an 'out' for unexpected inputs, allowing it to indicate uncertainty when necessary.

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.

A

Anthropic Cast

09/06/24

@ Anthropic

Structuring the reasoning in prompts helps the model perform better, even if it's not strictly reasoning as we define it.