Are You Using AI In Your Job?

We want to understand the real-world applications of AL and ML in business and the impact it will have on all our jobs.

Want to help? Complete the survey, your insights could make a big difference. It will just take one minute.
You'll be the first to get access to the final report.-->

6 Facts About ChatGPT & Their Significance

| February 3, 2023

The trending chatbot app, ChatGPT from OpenAI has been making splashes in headlines – perhaps you’ve dabbled with it yourself (when it’s not at maximum capacity) to see what it can do.

We use this and similar products in product development, so here, we provide an infographic that explains some of the most interesting facts about ChatGPT and touches on each metric’s significance.

6 facts that shed light on what’s under the hood in ChatGPT

A quick rundown of the information above

Let’s quickly discuss each of the points above.

The size of the data is immense

The sheer size of the data on which ChatGPT has been trained doesn’t exactly transpose to human understanding of language, as our communication goes much deeper than written words. Still, this is much more than you and all your closest friends will read in your lifetimes, meaning it has an immense amount of information to draw from.

Businesses will eventually be able to fine-tune this and other systems by feeding it data that has all kinds of uses like offering a knowledge base people will actually use as much as Reddit.

The way ChatGPT learns is highly customizable

There are several ways developers can fine-tune how the system learns, from the speed at which it processes information via the learning rate to how it interprets complex data sets with various hidden layers that provide conditional perspectives on data each analyzes.

More complex relations benefit from additional layers of processing and perspective which is helpful for languages like English that have a lot of random, arbitrary rules, which makes it capable of understanding other complex datasets.

It learns by association, but not exactly like a human

Its understanding and capabilities are different for each language as it lacks the cognitive data we use to identify associations and drive our understanding of language. However, it can use some information to learn between similar languages, like Romance languages which share comparable rules and often have cognates that can help in some learning scenarios.

Though sentence structure and conjugation may be different, this can help it learn how to properly use less-defined language elements, like jargon or specific branding language, effectively and in the correct context.

It’s not perfect

ChatGPT’s generative model is generally able to handle most text prompts, but it’s not perfect. Like a person, the way you ask a question can cause it to “overfocus” on a particular element that veers it into the irrelevant. Other common issues are repetition, grammatical inconsistencies (e.g., tenses changing throughout a single “thought”), and incoherence, where some ideas will pull in “artifacts” from unrelated sources and other non-sequiturs.

Custom uses will require some manual intervention to ensure it’s learning and producing the correct output – it’s a language model so in its current form, it will never be quite like the AIs we see in Hollywood.

ChatGPT can emulate human conversation

As much of its learning material is conversational, it excels at emulating dialogue indistinguishable from a human. Naturally, this is a cause for concern because of the potential for someone to emulate your favorite aunt or catfish you from overseas. 

With that said, there is enormous potential for communication-driven processes like customer service chatbots that finally don’t suck.

It reviews just about everything you can find on the web

It primarily reviews web pages, including forums and social media, but also includes scientific journals, comics, literature, and much more. As such, it may soon be able to help shed new light on pressing 1st world matters, like the many age-old debates of “who would win” should different fictional characters from unrelated IPs have to duke it out.


Most cats don’t like water, if you catch my drift. | Source: CBR

It’s continually learning, meaning we should see notable improvements throughout time. While it might be an ideal product for your dealings right now, that could well change in a couple of years.

We’re approaching an age of “better” chatbots

The various language models and other elements that comprise ChatGPT enable some genuinely remarkable feats. Stay tuned as we plan to cover more on the system soon!

+ posts

Get the latest from the Blue Label Labs’ blog in your inbox


* indicates required