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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.

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

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.

SN

Satya Nadella

05/22/25

@ Rowan Cheung

The virtuous cycle of improvement in model capability is driven by the application of knowledge to fine-tune new samples based on market feedback.

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.

WA

Waseem Alshikh

03/27/25

@ LangChain

We find that human feedback is often unreliable, so our self-evolving models are designed to learn from their own mistakes without needing human input.

DR

David Rusenko

09/06/18

@ Y Combinator

Expect that the number of iterations needed to refine your product will be significantly higher than anticipated—about ten times more.

KD

Katie Dill

10/16/24

@ Y Combinator

Iterative feedback cycles with a diverse range of users help reveal insights that improve product execution and user experience.

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.

DP

Dwarkesh Patel Cast

05/23/25

@ Dwarkesh Patel

We often underutilize models, expecting them to solve tasks quickly without giving them enough time to iterate and improve.