Open vs Closed Prompts Demonstrated in ChatGPT [ Discussion ]

Micah
28 Mar 202406:24

Summary

TLDRIn this educational video, the presenter explores the distinction between open and closed prompts when interacting with AI. Open prompts offer AI the freedom to decide the output, exemplified by asking an AI to create a Python script without specifics. Conversely, closed prompts limit AI's decision-making by providing detailed instructions, such as requesting a script specifically for uploading CSV files to an SQL database. The video illustrates the variability of responses with open prompts versus the consistency and specificity of closed prompts. Through examples with Chad GPT, the presenter demonstrates how the AI's output changes based on the level of prompt detail, emphasizing the importance of clarity in achieving desired AI-generated content.

Takeaways

  • πŸ“œ Open prompts allow the AI to decide more of the output.
  • πŸ“ Closed prompts provide specific details, limiting the AI's decisions.
  • πŸ”„ An open prompt can result in variable responses each time.
  • 🎯 A closed prompt aims to give consistent, specific outputs with minimal variation.
  • πŸ“‚ Example of an open prompt: 'Create a python script for me.'
  • πŸ”§ Example of a closed prompt: 'Create a python script for me that includes a function for uploading CSV files to an SQL database.'
  • πŸ› οΈ The AI may recognize overly open prompts and request more details for clarity.
  • βš™οΈ Open prompts can yield a wide range of different outputs.
  • πŸ”’ Closed prompts tend to produce more similar outputs with detailed instructions.
  • πŸ“ Adding more constraints to a prompt further closes it, making the output even more specific.

Q & A

  • What is the main difference between an open and a closed prompt according to the video?

    -An open prompt allows the AI to decide more of what the output is, while a closed prompt limits the AI's decision-making by providing more details and narrowing down the output options.

  • Can you provide an example of an open prompt as mentioned in the video?

    -An example of an open prompt is asking an AI like Chat GPT to 'create a Python script for me', which leaves it open for the AI to decide what kind of script to create.

  • What is an example of a closed prompt given in the video?

    -A closed prompt example is asking for 'a Python script that includes a function built for the purpose of uploading CSV files to an SQL database', which is more specific and limits the AI's creativity.

  • Why might you receive different responses with the same open prompt?

    -With an open prompt, the AI has more freedom to decide the output, which can lead to variable responses each time the prompt is used, especially if the prompt is too open-ended.

  • How does a closed prompt affect the output compared to an open prompt?

    -A closed prompt should result in more specific outputs with minimal variation, as it provides the AI with clear instructions and limits its decision-making capabilities.

  • What is the purpose of providing more details in a closed prompt?

    -Providing more details in a closed prompt helps to guide the AI towards a specific outcome, ensuring that the output meets the user's exact requirements or expectations.

  • How does the video illustrate the concept of open and closed prompts with GPT?

    -The video demonstrates the concept by pasting an open prompt and observing GPT's response, which is then compared to a closed prompt to show the difference in specificity and decision-making by the AI.

  • What is the significance of the AI's response to the open prompt in the video?

    -The AI's response to the open prompt in the video shows that even with an open-ended question, the AI may still provide a specific example, highlighting the AI's ability to interpret and respond to open prompts.

  • What does the video suggest about the AI's ability to optimize its responses?

    -The video suggests that the AI can optimize its responses based on the level of openness or closure of the prompt, and that it can adjust its output to be more or less detailed as instructed.

  • How can you further close a prompt to get an even more specific output, as shown in the video?

    -You can further close a prompt by adding more specific instructions, such as specifying the use of certain libraries (like pandas and SQL Alchemy), optimizing for the shortest script length, or limiting the character count of the output.

  • What is the benefit of using a closed prompt in terms of consistency?

    -Using a closed prompt ensures consistency in the output, as the AI is given clear guidelines and is less likely to provide varied responses when the same prompt is used multiple times.

Outlines

00:00

πŸ€– Open and Closed Prompts in AI

This paragraph discusses the distinction between open and closed prompts when interacting with AI. An open prompt provides the AI with more freedom to decide the output, exemplified by asking an AI like GPT to create a Python script without specific details. This can lead to variable responses. Conversely, a closed prompt limits the AI's decision-making by providing detailed instructions, such as creating a Python script specifically for uploading CSV files to an SQL database, which results in more consistent and specific outputs. The paragraph also demonstrates this concept through examples with GPT, showing how the AI's responses vary based on the openness of the prompt.

05:01

πŸ“ Refining AI Prompts for Specificity

The second paragraph focuses on refining AI prompts to achieve greater specificity and optimization. It explains how adding more detailed instructions to a prompt can lead to more concise and targeted outputs. The paragraph illustrates this by progressively narrowing down a prompt to include specific requirements such as using Python's pandas and SQL Alchemy libraries and optimizing the script for the shortest length possible. This results in a more streamlined and efficient script. The paragraph also emphasizes the importance of clear instructions in obtaining desired results from AI systems.

Mindmap

Keywords

πŸ’‘Open Prompt

An 'Open Prompt' is a type of inquiry or request that is broad and non-specific, allowing the AI to interpret and generate a response with a wide range of possibilities. In the context of the video, it is used to illustrate the concept where the AI has more freedom to decide the output. For instance, when the user asks the AI to 'create a Python script,' it opens the door for the AI to create any kind of script it deems appropriate, thus leading to potentially diverse and variable responses.

πŸ’‘Closed Prompt

A 'Closed Prompt' is a more specific and detailed request that limits the AI's creative freedom and guides it towards a particular outcome. The video uses this term to describe prompts that narrow down the AI's decision-making process. An example from the script is asking the AI to 'create a Python script that includes a function for uploading CSV files to an SQL database.' This type of prompt results in a more predictable and consistent output with minimal variation.

πŸ’‘AI Decision-Making

AI Decision-Making refers to the process by which an artificial intelligence system selects and generates a response based on the input it receives. In the video, this concept is discussed in the context of open and closed prompts. With an open prompt, the AI has more freedom to make decisions, whereas a closed prompt restricts its decision-making capabilities, guiding it towards a specific output.

πŸ’‘Python Script

A 'Python Script' is a piece of code written in the Python programming language to automate tasks or perform specific functions. The video uses Python scripts as examples to demonstrate the difference between open and closed prompts. The AI is asked to create different types of Python scripts based on the openness or closedness of the prompts provided by the user.

πŸ’‘Output

In the context of AI and the video, 'Output' refers to the result or response generated by the AI system after processing an input or prompt. The video discusses how the nature of the output varies depending on whether the prompt is open or closed, with open prompts leading to more variable outputs and closed prompts producing more specific and consistent results.

πŸ’‘Variable Responses

'Variable Responses' in the video refers to the different outcomes that can be generated by the AI when given open prompts. The script mentions that with an open prompt, the AI could provide a wide range of responses, potentially leading to different outputs each time the prompt is used.

πŸ’‘Specific Output

A 'Specific Output' is a precise and predictable result that the AI is expected to generate in response to a closed prompt. The video emphasizes that closed prompts should yield specific outputs with minimal variation, as opposed to the varied responses that can occur with open prompts.

πŸ’‘Optimization

In the video, 'Optimization' is mentioned in the context of refining the AI's output to meet certain criteria, such as brevity or efficiency. For example, the script describes optimizing a Python script to be the shortest length possible, which is an example of optimizing the AI's output based on specific instructions given in a closed prompt.

πŸ’‘Pandas

Pandas is a popular Python library used for data manipulation and analysis. In the video, it is mentioned as a specific tool to be used in creating a Python script for uploading CSV files to an SQL database. The mention of Pandas in a closed prompt serves to narrow down the AI's options and guide it towards a particular solution.

πŸ’‘SQL Alchemy

SQL Alchemy is another Python library, often used in conjunction with Pandas, that provides tools for working with SQL databases. The video script uses SQL Alchemy as an example of a specific library that could be included in a closed prompt to guide the AI towards creating a script with a particular functionality.

Highlights

Open prompts allow AI to decide more of the output, while closed prompts limit AI's decision-making by providing more details.

An example of an open prompt is asking an AI to create a Python script without specifying the purpose.

A closed prompt example is asking for a Python script specifically for uploading CSV files to an SQL database.

Open prompts can lead to variable responses each time they are used due to their open-ended nature.

Closed prompts should yield specific outputs with minimal variation.

The video demonstrates the difference between open and closed prompts using an example with Chad GPT.

GPT4 is shown to be cautious with open prompts, avoiding random outputs without clear direction.

The AI provides a simple Python script to count words in a text file as an example of an open prompt's output.

Instructions on how to use the provided script are given alongside the script itself.

A closed prompt narrows down the output, as shown with a script for uploading CSV files to SQL databases.

The closed prompt includes specific instructions for installing necessary libraries and using SQL Alchemy.

Comments and instructions are provided within the script to guide the user.

Using the same closed prompt again demonstrates the consistency of the output.

Variations in comments show slight differences, but the overall steps remain consistent.

Further closing the prompt by specifying the use of Python Pandas and SQL Alchemy.

Optimizing the script for the shortest length possible can be achieved by adding specific instructions.

The video concludes by showing the most optimized version of the script as an example of a highly closed prompt.

The difference between open and closed prompts and their prompting styles are clearly illustrated.

Transcripts

play00:00

so in this video we're going to talk

play00:02

about open versus closed prompts and the

play00:06

concept here is that an open prompt this

play00:10

allows the AI to decide more of what the

play00:13

output is and a closed prompt

play00:16

makes it so that your prompt is deciding

play00:19

more of what the output is so an example

play00:21

of a open prompt would be where you

play00:24

would go to chat GPT and say create a

play00:27

python script for me

play00:29

now you see it's like an open-ended

play00:31

question basically which is where that

play00:33

term open comes from

play00:34

where we're opening the door for the AI

play00:37

to basically make decisions on what sort

play00:39

of python script it will decide to

play00:41

create for you and then with a closed

play00:44

prompt we are saying create a python

play00:46

script for me

play00:48

that includes a function built for the

play00:51

purpose of uploading CSV files to an SQL

play00:54

database right so

play00:57

what we're doing is we are closing the

play00:59

gap on the ai's ability to make

play01:02

decisions by providing it with more

play01:04

details

play01:06

and where we're limiting its creativity

play01:09

in a sense or its ability to decide what

play01:12

the best option of thing to show you

play01:16

um one thing with these that's important

play01:19

to highlight as well is that

play01:21

with an open prompt you could get

play01:23

variable different responses all the

play01:26

time you could get any number of

play01:28

different responses with the same prompt

play01:30

if it was too open if it was too wide

play01:32

open uh every time you use it you might

play01:34

get a different response and with a

play01:35

closed prompt you should be getting more

play01:38

of a very specific output with minimal

play01:42

variation

play01:43

from it so that's kind of the basics

play01:45

there but we are going to go over some

play01:47

examples of these

play01:49

all right here we are with Chad gbt what

play01:52

we're going to do is paste that open

play01:54

prompt from the example and we're going

play01:57

to see what this does so it's going to

play02:00

say okay cool

play02:01

I'll make a python script for you and

play02:04

what we're actually experiencing here

play02:06

with gpt4 right now is it's actually

play02:08

describing that the prompt is so open

play02:12

that it doesn't actually want to just

play02:15

give you a random open output but what I

play02:18

could do is I can just say give me

play02:21

anything I just want to see an example

play02:25

right so we've told it to be random so

play02:30

now it's going to pick this random use

play02:31

case

play02:33

I think the optimization here is that

play02:35

with this model it's defined what is to

play02:39

open what doesn't make sense what needs

play02:41

to be closed right so right here we have

play02:44

a python script that reads a text file

play02:46

counts the number of words in it and

play02:47

describes the displays the word count so

play02:51

pretty simple script and it gives you

play02:54

this some instructions on how to use the

play02:56

script and so on but let's go and

play02:59

actually use our closed script and

play03:01

actually narrow down the uh the output

play03:03

right so this one will use the

play03:07

example from

play03:10

the previous

play03:12

previous discussion and so what we're

play03:14

seeing here is

play03:16

it says okay you're going to need to

play03:18

install this pandas SQL Alchemy and then

play03:22

here's the sample script using SQL

play03:24

alchemy that would allow you to upload a

play03:27

CSV file to a SQL database and then it

play03:31

also gives you some comments some

play03:32

instructions and it talks about

play03:34

how that connection would work and then

play03:36

we can iterate with on this from here on

play03:39

out so pretty pretty straightforward

play03:42

breakdown what I do want to show you

play03:44

though is if we use the same closed

play03:47

prompt again I want to provide an

play03:49

illustration of of how the output will

play03:52

be more closed and less open for

play03:55

interpretation than the open prompt so

play03:57

I'm actually going to slide over to

play03:58

another chat I'm going to show you the

play04:00

same prompt again and we're going to

play04:02

compare the similarity okay so we pasted

play04:04

the same prompt in again

play04:06

it's going through

play04:09

and it gave us the exact same First Step

play04:12

maybe with some variations of words I'd

play04:14

have to check

play04:15

um

play04:16

but then it's going through

play04:18

it's describing everything we have some

play04:21

variation in the comment these comments

play04:23

do look a little bit different

play04:25

but from there

play04:26

it's saying okay

play04:29

here's the steps that you need to

play04:31

take to connect to your SQL database

play04:34

and so on

play04:36

CC this is the kind of output of a

play04:38

closed prompt and if we wanted to

play04:42

close this even more we could take a

play04:44

prompt like this

play04:45

and we could say something like

play04:49

um

play04:49

and

play04:52

make sure you

play04:54

use

play04:56

python pandas

play04:58

right so we could close it even more so

play05:00

we say like hey make sure you use pandas

play05:02

make sure you use make sure you use

play05:07

um

play05:09

SQL Alchemy which is part of pandas

play05:14

I say

play05:17

and make sure you

play05:21

optimize the script to be the shortest

play05:25

length possible which will then limit

play05:29

our character count and bring down the

play05:32

output

play05:34

we could also tell it something like

play05:37

um

play05:38

hey go ahead and only give us a certain

play05:42

character length cool and I just had to

play05:45

refresh real quick

play05:47

something went wrong and so

play05:50

uh now it's going forward and we we

play05:52

close the prompt even more with more

play05:55

specific instructions and so now we've

play05:58

got

play05:59

the most optimized version of a script

play06:03

and so this is much shorter than what it

play06:06

was giving us before

play06:08

look over here

play06:10

and so we got the most optimized version

play06:12

right here

play06:14

and so awesome so I hope that that

play06:16

describes the difference between a open

play06:19

and a closed prompt and how those two

play06:22

types of prompting Styles would be

play06:23

different

Rate This
β˜…
β˜…
β˜…
β˜…
β˜…

5.0 / 5 (0 votes)

Related Tags
AI PromptingOpen PromptsClosed PromptsPython ScriptingSQL DatabaseCSV UploadAI DecisionsScript OptimizationTechnical TutorialAI Interaction