Product Management

Let's talk AI basics - Prompt Engineering vs. Blind Prompting

Do you want to get the most out of AI? There are two main approaches: prompt engineering and blind prompting.

Prompt engineering is a technique where you carefully craft a prompt that guides the Large language models (LLM) to generate the desired output. For example, if you want the LLM to write a list of places to go with kids, you might give it a prompt like "Create a list of 10 #ai free outdoor places I can go for a day with kids in New York"

Blind prompting is a technique where you give the LLM a very general prompt and let it generate whatever it wants. For example, you might give the LLM the prompt "Things To Do In New York With Kids"

So, which approach is better?

Prompt engineering is a more reliable way to get the LLM to generate high-quality output. Blind prompting can sometimes produce surprising and interesting results, but it is also more likely to produce gibberish or unrelated content.
However, blind prompting can be a more creative process than prompt engineering. It can be fun to see what the LLM will come up with when you give it a very open-ended prompt.

The best approach for using AIs depends on your goals and preferences. If you want to be sure that your output is high-quality, then prompt engineering is the way to go. If you want to experiment and see what the LLM can do, then blind prompting can be a lot of fun.

Here's one of the great tools to supercharge your AI skills with prompt templates. https://lnkd.in/gXyFYEgj #ai #productmanagement #pm #engineering #productdevelopment

lnkd.in

LinkedIn

This link will take you to a page that’s not on LinkedIn

www.tg-me.com/pl/Product Management/com.activemarketingjungle/447

10.7K viewsApr 26, 2023 at 12:56

Let's talk AI basics - Prompt Engineering vs. Blind Prompting

Do you want to get the most out of AI? There are two main approaches: prompt engineering and blind prompting.

Prompt engineering is a technique where you carefully craft a prompt that guides the Large language models (LLM) to generate the desired output. For example, if you want the LLM to write a list of places to go with kids, you might give it a prompt like "Create a list of 10 #ai free outdoor places I can go for a day with kids in New York"

Blind prompting is a technique where you give the LLM a very general prompt and let it generate whatever it wants. For example, you might give the LLM the prompt "Things To Do In New York With Kids"

So, which approach is better?

Prompt engineering is a more reliable way to get the LLM to generate high-quality output. Blind prompting can sometimes produce surprising and interesting results, but it is also more likely to produce gibberish or unrelated content.
However, blind prompting can be a more creative process than prompt engineering. It can be fun to see what the LLM will come up with when you give it a very open-ended prompt.

The best approach for using AIs depends on your goals and preferences. If you want to be sure that your output is high-quality, then prompt engineering is the way to go. If you want to experiment and see what the LLM can do, then blind prompting can be a lot of fun.

Here's one of the great tools to supercharge your AI skills with prompt templates. https://lnkd.in/gXyFYEgj #ai #productmanagement #pm #engineering #productdevelopment

BY Product Management