We all know from the past few years that there’s no AI-assistive tool that can remember your preferences and tailor its responses to you personally. But today we have that one, which is “ChatGPT,” that works over a Language Large Model (LLM). If you observe it while using it, you will find that ChatGPT remembers you and your interactions too.
From there, some of you wonder to what extent ChatGPT remembers your interactions. I mean, what memory does it hold for such things? I noted that I tried to figure it out and found that ChatGPT leverages dedicated technology to store and access information about your past exchanges. Seriously, this seems like a ground-breaking feature that no one knows about, so let’s discuss it transparently.
What is ChatGPT memory?
From the above discussion, you got an idea of what I am referring to for memory about ChatGPT. See ChatGPT memory is like a giant bookshelf filled with special books. Here, each book represents a conversation you had with ChatGPT. But instead of words on paper, this bookshelf uses sophisticated technology, which is Redis Database and Vector Embedding.
There is a combination of these two things where the Redis Database helps as a library itself that keeps all the books (conversation records) organized and easily accessible. On the other hand, vector embeddings work as magic summaries of each book. The best part to have is that Vector Embedding captures the essence of the conversation in a special code that ChatGPT understands.
How does ChatGPT memory work?
Concerning the previous section, you got a rough overview of how ChatGPT works. But to understand the core functionality, you should know how it exactly works. The process is primarily divided into two phases: one is storing information, and the other is retrieving information. So, let’s have a look at both sides.
Storing information
Every time you chat with ChatGPT, the conversation gets converted into unique code called vector embedding. This code, along with a timestamp and possibly a username, gets stored in the Redis database.
Retrieving information
At this moment, your taste for information is stored, and after that, retrieval is another phase. When you start a new chat, ChatGPT analyses your new message and creates a new vector embedding. Further, it compares this new code with all the books (interactions) in its database. So on most similar interactions, they get retrieved and help ChatGPT understand your preferences.
From the above two phases, we can refer to an example. Suppose you previously discussed Chinese food with ChatGPT. Further, when you start a new chat with “What’s for dinner?” ChatGPT remembers your interest and suggests Chinese recipes as it already stored your preference for Chinese you discussed earlier.
What can ChatGPT remember?
ChatGPT’s memory is not like yours or mine, as it stores detailed recollections of your past interactions. However, there are a few specific things that ChatGPT stores to enhance future interactions. These things are topics discussed, preferences and styles, and even writing styles. That means whatever you previously discussed with ChatGPT will fetch your preferences from it. Also, ChatGPT gives responses in the same tone; you ask for it, which means it stores tone too. Above that, ChatGPT stores your writing style, like how you write informational sentences so that it seems to flow more naturally.
class="wp-block-heading">Benefits of ChatGPT Memory
Since ChatGPT automatically understands user tastes and gives them personalized results on every chat, it implies a benefit as it continues the flow. But aside from that, there are some decent benefits that only a few users know about. And once you get to know these benefits, I am sure you will have an edge over ChatGPT. So these are the benefits.
- ChatGPT can build on past conversations that result in more natural and relevant interactions.
- With this memory, ChatGPT can suggest content, products, or information based on user interests.
- ChatGPT can reference past discussions, prioritize your response, and create new meaningful connections.
Limitations of ChatGPT memory
Even ChatGPT’s memory-capturing algorithm is the best and provides numerous benefits for the user. But there are some limitations with it, like that it could change the perspective in the future. I tried to figure it out and found that some limitations stop ChatGPT from storing user information up to a certain extent. These limitations are given below.
- Current systems have limitations. Rewiring balances personalization with computational efficiency.
- Even though it stores data, understanding complex concepts seems challenging here.
- Training data that is used to build ChatGPT can influence its memory and response.
Final Thoughts
To conclude, you know that here we have explored the significance of ChatGPT’s memory feature and its impact. In this discussion, I am sure you have an edge over ChatGPT in terms of how exactly it works and benefits users. Looking ahead, the potential of memory-powered AI assistants like ChatGPT is promising. I encourage readers to try ChatGPT and experience its memory-powered capabilities to enhance productivity.
