Welcome back to Cori, where I am showing you daily how to start leveraging artificial intelligence in your personal and business life. In this video, we’re going to go over comprehensively everything you need to know about the ChatGPT Memory Key found in Zapier. You’re going to learn in this video why Zapier is such a powerful tool for allowing us to use this. Furthermore, I’m going to break this tutorial down into three major parts.
The first part here, I’m going to explain essentially what’s occurring in the backend of Zapier by showing it through an actual ChatGPT chat that we can do in the front end. So, we’re going to understand essentially what is the function that this is serving.
The second part of this tutorial is we’re going to jump into Zapier and I’m going to show you some examples with the memory key. We’ll explore use cases of the memory key in different contexts and discuss why you would use it and when you wouldn’t use it.
The latter part of this tutorial essentially is I’m going to go on a whiteboard and draw out essentially what’s truly happening with the code and how this is being achieved. So, you can really understand from the start to finish everything that’s accomplished with the memory key and why it’s such a powerful tool.
But without further ado, let’s go and jump into today’s video where we’re going to explore all the functionalities of the memory key. Before we jump into Zapier’s front end, let’s go and explain essentially what’s even happening.
Essentially, what the memory key does is if I wasn’t going to use the memory key found here on Zapier, essentially every single conversation that occurs within the Zapier flow is going to be the start of a fresh conversation. So, what do I mean by that? If we jump over to ChatGPT’s front end, essentially it would be like this: ‘We need captions for my company. We are a real estate company in Florida.’ This is what happens when you don’t add a memory key.
Okay, we need captions for a company. Okay, it’s going to bring out captions for the real estate company in Florida, and it’s going to go like this. But here’s what’s happening if you don’t have a memory key. Essentially, it goes to the automation once, and now when you go through it a second time, essentially you’re starting the chat all over again from the very beginning. So, as you’ll see here, the answers will be different. But here’s the thing, the answers also could be the same because of the fact that we’re starting the chat fresh again. Essentially, it could lead to the same outputs that we saw in the chat that occurred three chats ago. Essentially, all that’s happening when you don’t have a memory key is I’m just resubmitting and restarting a chat with OpenAI’s API. So, this can be used in some use cases, but the reason this is detrimental, as I said before, is due to the fact that some of these outputs will be repeated, which is going to be good. Maybe I’m doing a social media caption, and I don’t want to use the same caption of ‘Turning your Sunshine State dreams into reality.’ Therefore, because there’s no pre-contextual context, it causes issues in scaling and when there are repeated automations that occur through the same flow.
Essentially, what was happening here is that we were adding a memory key. We said we need captions for my company, a real estate company in Florida. Essentially, every single time it does this output, it’s going to look different in some way, whether it’s small or not. You’ll see in this test here, we got different captions here. We got quotation marks. Let’s go ahead and come back over here and retest this. We go ahead and retest this step, and we should see similar structuring here because we’re using the same chat. Therefore, we can expect the same type of output. So, there we go. Let’s see if this is a new chat. Here we go. So, the new chat came in. Notice how we have quotation marks still. We have the emoji in the front and then the emojis later on. Now we’re getting consistent output here, and we have identified essentially don’t use past outputs found within the chat that’s happening here.
Now that we understand the use case of a memory key and why it’s so fundamental, let’s go and explain a little bit more of what’s actually happening here and why this is such a powerful tool in the context of automation. Essentially, when we use a ChatGPT block in Zapier, we are essentially doing an API call within OpenAI. We provide our key, and essentially when we write out a user message, we are just prompting it within OpenAI’s API. What Zapier does, which is super cool, is instead of every single time being a new chat and therefore the outputs are inconsistent, they do with the memory key. Of course, if you use the memory key, the next output that occurs is going to base off the formatting, the structuring, the output, the type of stuff that we already like based off this chat. It knows that essentially this chat went by fine, and essentially the next chat is going to be a similar type of output to the previous chat. Therefore, what this ensures us to do and what a memory key allows us to do is that every future chat is going to be consistent in the way it comes out because of that pre-contextual data. So, instead of essentially every single time we send an API call, it’s basically just shooting in the dark if it’s not really formatted or structured well when it comes to temperature and stuff, it already knows within the grounds of the type of outputs you like based off the memory key you provided.
The memory key is extremely powerful if you are running an automation company or your automation company really wants to have easier use cases or the ability to really use artificial intelligence with your flows. If you don’t offer the capability of having a memory key, having pre-contextual data, you’re shooting yourself in the foot. This is out of all the stuff here, other than the prompt, the memory key is the second most important. This is what the memory key does for you, and that is why Zapier is so powerful in the context of automation, especially of artificial intelligence. With the memory key, we are afforded the ability to use pre-contextual data, ensuring consistent outputs and allowing us to scale better. So, if you’re interested in learning more about artificial intelligence and automation, make sure to explore more here at Corbin AI, where we demystify AI for your personal and business life.
