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Atmrix

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Atmrix

About

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.

Video

A

AI prompt engineering: A deep dive

@ Anthropic

09/06/24

Related Takeaways

AA

Amanda Askell

09/06/24

@ Anthropic

Using clear, prescriptive language about the task at hand is more effective than relying on vague role-based instructions.

A

Anthropic Cast

09/06/24

@ Anthropic

Treating the model as capable and giving it complex instructions can lead to better outcomes than simplifying the task.

YC

Y Combinator Cast

05/30/25

@ Y Combinator

Using a larger model for meta prompting can yield better prompts that are then distilled into smaller models for practical use.

A

Anthropic Cast

09/06/24

@ Anthropic

I often define new concepts when prompting to convey nuanced ideas clearly to the model.

MB

Matt Biilmann

03/08/25

@ a16z

The skill of prompting AI models is crucial; those who understand how to communicate effectively with these models can create more sophisticated and creative outputs.

AA

Amanda Askell

09/06/24

@ Anthropic

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

A

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.

TB

Trenton Bricken

05/23/25

@ Dwarkesh Patel

The distinction between how models claim to perform tasks and how they actually do them can reveal significant insights into their capabilities.