🔥 ChatGPT Tips Tuesday #9: Let's get creative

💡 ChatGPT Tips for the day

Thanks to all the people who voted in the last issue. By popular demand, I am going to talk about getting some creative responses from ChatGPT.

Watch out Midjourney, ChatGPT can do creative stuff as well 😆 

For this issue, I will go with the 3 different types of responses that I hope could make your life more creative. The topic I will be using across this issue’s examples would also be unicorn related. 🦄 

ASCII arts

ASCII arts use the 95 printable ASCII characters to generate images. As an example, here is one:

If you do a simple Google browse, you would see more examples and the level of detail could vary a lot.

One thing I want to point out is that the ASCII art generated from ChatGPT varies from time to time. So you might want to try a few different prompts to test and see if it can get something closer to what you want.

Example

Try this in your next prompt

As a talented ASCII artist, create [object] in ASCII Art

Kaomoji / 顔文字

If you are born in the late 80s or early 90s, you might find this style quite familiar.

Kaomoji got quite popular initially in Japan. It uses Japanese characters, and punctuation to express some sort of expressions. Basically, they are like “early emojis”.

Example

Too bad I didn’t get to see a unicorn from this. But I must say the cats are looking pretty good.

Try this in your next prompt

As a talented Kaomoji artist, create [object] in Kaomoji

Emojis

You guess it right. ChatGPT can do emojis in response as well.

If you have seen my weekly news issue, you might have noticed those emojis I used for the quiz section. All those generations come from ChatGPT.

Example

Try this in your next prompt

Describe [object, e.g. book, movie, etc] in [a number] emojis

Alright, those are some creative response types I have found so far. I know there must be more of these out there. If you spot any, feel free to drop me a message at [email protected] or hit me up on my Twitter @AnInquisitiveMd.

🔤 Word of the day

Supervised learning

n. is a type of machine learning, which is a way of teaching computers to do certain tasks.

Let's say you have a big box of various fruits, and you want a machine to learn to identify each one correctly. Here's how it might work with supervised learning:

1. You show the machine a picture of an apple, and you tell it, "This is an apple."

2. Then you show it a picture of a banana and say, "This is a banana."

3. You keep doing this with different fruits until you've covered all the fruits in your box.

You've just provided the machine with 'labelled' data - that's what the fruits with names are. You 'supervised' the machine's learning by telling it what each fruit is.

Now comes the test. You mix up all the fruit pictures, and then you show the machine a random fruit picture from the mix. If the machine can correctly identify the fruit - "This is an apple", "This is a banana", and so on - then your supervised learning process has been successful.

So in a nutshell, supervised learning is about teaching machines by example, just like how we might teach a child to identify animals by showing them pictures of different animals and telling them what each one is.

To explore further about this concept, check this page on Wikipedia

🖼️ Image of the day

ChatGPT could get really angry when expressing via the ASCII art

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