Open vs Closed Prompts Demonstrated in ChatGPT [ Discussion ]
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
- π Open prompts allow the AI to decide more of the output.
- π Closed prompts provide specific details, limiting the AI's decisions.
- π An open prompt can result in variable responses each time.
- π― A closed prompt aims to give consistent, specific outputs with minimal variation.
- π Example of an open prompt: 'Create a python script for me.'
- π§ Example of a closed prompt: 'Create a python script for me that includes a function for uploading CSV files to an SQL database.'
- π οΈ The AI may recognize overly open prompts and request more details for clarity.
- βοΈ Open prompts can yield a wide range of different outputs.
- π Closed prompts tend to produce more similar outputs with detailed instructions.
- π 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
π€ 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.
π 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
π‘Open Prompt
π‘Closed Prompt
π‘AI Decision-Making
π‘Python Script
π‘Output
π‘Variable Responses
π‘Specific Output
π‘Optimization
π‘Pandas
π‘SQL Alchemy
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
so in this video we're going to talk
about open versus closed prompts and the
concept here is that an open prompt this
allows the AI to decide more of what the
output is and a closed prompt
makes it so that your prompt is deciding
more of what the output is so an example
of a open prompt would be where you
would go to chat GPT and say create a
python script for me
now you see it's like an open-ended
question basically which is where that
term open comes from
where we're opening the door for the AI
to basically make decisions on what sort
of python script it will decide to
create for you and then with a closed
prompt we are saying create a python
script for me
that includes a function built for the
purpose of uploading CSV files to an SQL
database right so
what we're doing is we are closing the
gap on the ai's ability to make
decisions by providing it with more
details
and where we're limiting its creativity
in a sense or its ability to decide what
the best option of thing to show you
um one thing with these that's important
to highlight as well is that
with an open prompt you could get
variable different responses all the
time you could get any number of
different responses with the same prompt
if it was too open if it was too wide
open uh every time you use it you might
get a different response and with a
closed prompt you should be getting more
of a very specific output with minimal
variation
from it so that's kind of the basics
there but we are going to go over some
examples of these
all right here we are with Chad gbt what
we're going to do is paste that open
prompt from the example and we're going
to see what this does so it's going to
say okay cool
I'll make a python script for you and
what we're actually experiencing here
with gpt4 right now is it's actually
describing that the prompt is so open
that it doesn't actually want to just
give you a random open output but what I
could do is I can just say give me
anything I just want to see an example
right so we've told it to be random so
now it's going to pick this random use
case
I think the optimization here is that
with this model it's defined what is to
open what doesn't make sense what needs
to be closed right so right here we have
a python script that reads a text file
counts the number of words in it and
describes the displays the word count so
pretty simple script and it gives you
this some instructions on how to use the
script and so on but let's go and
actually use our closed script and
actually narrow down the uh the output
right so this one will use the
example from
the previous
previous discussion and so what we're
seeing here is
it says okay you're going to need to
install this pandas SQL Alchemy and then
here's the sample script using SQL
alchemy that would allow you to upload a
CSV file to a SQL database and then it
also gives you some comments some
instructions and it talks about
how that connection would work and then
we can iterate with on this from here on
out so pretty pretty straightforward
breakdown what I do want to show you
though is if we use the same closed
prompt again I want to provide an
illustration of of how the output will
be more closed and less open for
interpretation than the open prompt so
I'm actually going to slide over to
another chat I'm going to show you the
same prompt again and we're going to
compare the similarity okay so we pasted
the same prompt in again
it's going through
and it gave us the exact same First Step
maybe with some variations of words I'd
have to check
um
but then it's going through
it's describing everything we have some
variation in the comment these comments
do look a little bit different
but from there
it's saying okay
here's the steps that you need to
take to connect to your SQL database
and so on
CC this is the kind of output of a
closed prompt and if we wanted to
close this even more we could take a
prompt like this
and we could say something like
um
and
make sure you
use
python pandas
right so we could close it even more so
we say like hey make sure you use pandas
make sure you use make sure you use
um
SQL Alchemy which is part of pandas
I say
and make sure you
optimize the script to be the shortest
length possible which will then limit
our character count and bring down the
output
we could also tell it something like
um
hey go ahead and only give us a certain
character length cool and I just had to
refresh real quick
something went wrong and so
uh now it's going forward and we we
close the prompt even more with more
specific instructions and so now we've
got
the most optimized version of a script
and so this is much shorter than what it
was giving us before
look over here
and so we got the most optimized version
right here
and so awesome so I hope that that
describes the difference between a open
and a closed prompt and how those two
types of prompting Styles would be
different
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