February 20, 2023: Chat GPT is already proven to be a game changer across numerous businesses, despite its current shortcomings. What exactly is it and what call can it do? What is Keep reading to know more!
The AI chatbot Chat GPT is currently dominating all social media discussion boards and igniting the debate over artificial intelligence's future and how our way of life and work will be impacted by its increased presence.
Even though it is still in the development stage, Chat GPT, developed by Open AI, isn't quite prepared to rule the world because it is still prone to making errors, misinterpreting data, and repeatedly giving the same answer to different users.
But what is ChatGPT?
ChatGPT is an artificial intelligence language model developed by OpenAI1. It's designed to generate human-like responses to questions and statements.
GPT stands for "Generative Pre-trained Transformer"
And what does that really mean?
For Senior students:
"Generative Pre-trained Transformer" (GPT) is a type of language model developed by OpenAI that uses a deep neural network architecture called a transformer. Here's what each part of the name means:
- Generative: A generative model is a type of artificial intelligence that can generate new data similar to the data it was trained on. In the case of GPT, it can generate new text based on the text it has seen during training.
- Pre-trained: GPT is pre-trained on a large corpus of text data, which means that it has already learned to recognize patterns and relationships in language before being fine-tuned for a specific task.
- Transformer: The transformer architecture is a type of neural network that is particularly well-suited for natural language processing tasks, such as text generation and machine translation. Transformers use self-attention mechanisms to learn the relationships between different parts of a sequence of text, allowing them to generate coherent and fluent sentences.
And for our Junior school readers:
GPT is like a computer that can write stories, but it needs to learn how to do it first. So, we give it lots and lots of stories to read, and it learns from them. Once it has learned how to write stories, we can ask it to write a new story for us. This is the "generative" part of GPT.
But, the computer still needs a bit of help to write a good story that makes sense. So, we give it some rules to follow, and it tries to write a story that follows those rules. These rules help the computer write better stories.
The more stories the computer reads, the better it becomes at writing stories on its own. And that's what "pre-trained" means - the computer has learned a lot about writing stories before we even ask it to write a new one.
Finally, GPT uses a special type of computer program called a "Transformer" to help it write stories. This program makes sure the computer pays attention to all the important parts of the story, like the characters, the plot, and the setting. This helps the computer write better stories that make more sense.
Overall, GPT is a computer that has read a lot of stories and can now write its own stories, following some rules that we give it, using a special program called a Transformer.
Think of it like a really smart friend who can understand and respond to anything you type. ChatGPT has been trained on a huge amount of text from the internet, so it knows a lot of information and can generate responses to a wide variety of questions.
For example, if you ask ChatGPT "What is the capital of France?" it will respond with "Paris." If you ask it a more complex question, like "Can you explain the difference between a meteor and a meteorite?" it will generate a response that provides an explanation of the distinction between the two.
So, ChatGPT is a tool that can help you get information and answer questions, but it's important to remember that it's not perfect and its responses may not always be accurate or complete. Just like any other source of information, it's always a good idea to double-check what ChatGPT tells you to make sure it's correct.
A surprise for readers - The above description of "How to explain ChatGPT to school students?" was generated by chatGPT itself. Of course, we did double check to see if the explanation was valid....and it is!
ChatGPT belongs to a family of software called Generative AIs. They can create new things from stuff they've already seen before. For example, they can make new pictures, sounds, videos, or even computer code that looks like it was made by a real person. It's really cool because they can make completely original things that nobody has ever seen before!
These use transformer based models which are trained using unsupervised and semisupervised methods over vast amounts of data available over the internet. These neural nets can then generate images, videos, text etc based on your prompt, a few parameters and all their learnings. We will talk about these in future Reference Peppers.
OpenAI1 : OpenAI, operates as a non-profit organization, an AI research and deployment company founded in 2015 by a group of tech industry leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, John Schulman, and Wojciech Zaremba.
How can ChatGPT help?
Creating duplicates
You can ask Chat GPT to write and generate the copy for your website, social media accounts, and blog. The language model will swiftly react with understandable language that looks like human speech to a straightforward command like "create a blog post explaining how to use Chat GPT."
However, it is important to keep in mind that because of the bias in the training data, Chat GPT is now likely to produce duplicate content and provide incorrect information. As a result, your brand may lose its unique tone of voice and present inaccurate and false information.
What do we mean by bias in the training data: This means the data could be picking up more information from certain groups of people, certain regions, or certain time periods, which can result in the model being biased towards those groups, regions, or time periods.
Information retrieval
You can ask ChatGPT for information about a wide range of topics, such as history, geography, science, and more, and it will generate a response based on what it has learned from its training data. Now, isn't that what Google also does? Yes, but the difference is that Google will give you links to various websites, blogs and sources for the information you seek, whereas ChatGPT will retrieve information from different sources and give you a concise answer. Now, you may prefer certain sources which appear on Google search based on trust, authenticity or it's way of explanation but with ChatGPT, currently, it could be an issue as it might not have access to your preferred website for information or in certain cases it has been noticed that ChatGPT is unable to retrieve accurate information one is looking for.
Creative ideas
You can use the bot to generate ideas and inspire creativity if you're running out of inspiration and don't want to rely only on artificial intelligence. You could use Google, of course, but why not check out what Chat GPT has to offer? Ask the inquiry, and you'll get an answer right away, whether you need suggestions for a future birthday celebration or fresh blog topics.
Give me blog post ideas is a broad query that can be asked, or you can ask for specifics like "give me blog post ideas on Chat GPT and AI technology."
Role play
Chat GPT is capable of much more than just answering simple inquiries and commands. This chatbot can and will play a role, even in its infancy. For instance, if you ask the model to play the part of a travel agent, storyteller, interviewer, recruiter, or even an Excel spreadsheet, it will adjust its response accordingly. Amazing, right?
People have used the AI chatbot to write stories that fascinate audiences, provide in-depth technology reviews with pros, drawbacks, and comparative features, and develop tactics to target qualified candidates in line with job openings and specifications in order to evaluate the chatbot's depth.
Coding
The AI-powered chatbot is also capable of writing, comprehending, and, given enough context, fixing incorrect code. Users can ask a variety of coding-related queries on Chat GPT, ranging from general inquiries like "how to print a series of numbers in Python" to more specialised ones like "identify the bug in this code."
Picture source: Photo by Ilya Pavlov on Unsplash
This AI technology can assist users in creating websites, video games, and apps by writing and comprehending simple code. It can also act as a debugging tool and assistant.
Learning
You can ask Chat GPT for assistance if you want to learn anything new. To begin your new pastime, ask questions like "how do I play piano," "what starter painting supplies do I need," or "how do I make Pizza Margherita?" Similar inquiries include "explain me about Planet War II," "give me an interesting fact about the world," and "what is Einstein's theory."
Conversational AI
You can use ChatGPT to have a conversation with it, just like you would with a human. This can be fun and entertaining, and can also help you practice your language skills.
Customer service
ChatGPT can be used to provide customer service for a business or organization. Customers can ask questions or make requests, and ChatGPT will generate a response that provides the information or help they need.
Photo by Andy Kelly on Unsplash
Personalisation
Chat GPT can be personalized to an individual user, which makes it useful for applications like recommender systems, personalized news feeds, and even personalized customer service interactions.
Transfer Learning
Chat GPT can learn from and transfer knowledge to other models. This makes it useful for tasks like transfer learning, which involves training a model on one task and then using it for another related task.
There are a lot other cool things you can do with ChatGPT and we will take them up in another article, if you want us to. Write to us and let us know.
But take caution! The chatbot has limitations, so despite how convincing it may sound, proceed with caution and perhaps don't believe all you read! We will be covering the limitations in part 2.
