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SS

Sander Schulhoff

06/19/25

@ Lenny's Podcast

When providing context, it's often best to place it at the beginning of the prompt to ensure the model retains focus on the task.

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

A

Anthropic Cast

09/06/24

@ Anthropic

Giving your prompt to someone without context can help you see if it's clear and effective.

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.

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.

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

The general guidance for prompting AI is to ensure that all necessary context is provided, especially when the AI is unfamiliar with the situation.

A

Anthropic Cast

09/06/24

@ Anthropic

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

RH

Raza Habib

03/01/23

@ Y Combinator

To mitigate the issue of hallucinations in language models, it's effective to provide factual context in the prompts given to the model, which can lead to more accurate 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.

IM

Ian McAllister

11/20/22

@ Lenny's Podcast

To improve communication, always answer questions directly before providing additional context; this helps avoid rambling.