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SS

Sander Schulhoff

06/19/25

@ Lenny's Podcast

Self-criticism is a valuable technique where you ask the language model to review and improve its own response.

Video

LP

AI prompt engineering in 2025: What works and what doesn’t | Sander Schulhoff

@ Lenny's Podcast

AI prompt engineering in 2025: What works and what doesn’t | Sander Schulhoff

06/19/25

Related Takeaways

SS

Sander Schulhoff

06/19/25

@ Lenny's Podcast

Self-criticism can be repeated multiple times to refine the model's output, typically one to three iterations are effective.

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.

JP

Jordan Peterson

11/02/17

@ Jocko Podcast

Criticism is essential for growth; it helps individuals recognize their flaws and provides a pathway for improvement.

L

LangChain Cast

05/30/25

@ LangChain

The reflection node uses a language model to ensure the generated answer makes sense, and if it doesn't, the process is repeated until a valid answer is produced.

LG

Lori Gottlieb

04/07/25

@ Andrew Huberman

It's important to improve our communication skills and determine if someone's critique of us is valid or not, especially in relationships.

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

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

YC

Y Combinator Cast

09/22/23

@ Y Combinator

An iterative approach is essential in working with AI; continuously debugging and refining prompts can lead to more reliable outcomes.

A

Anthropic Cast

09/06/24

@ Anthropic

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