8 minutes to read - Apr 18, 2023

What is ChatGPT?

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What is ChatGPT?
ChatGPT is the latest development in commercial AI technology. Keep reading to find out what ChatGPT is and how it works.
Table of Contents
1What is ChatGPT?
2Essential terminology
3How does ChatGPT work?
4What are ChatGPT's capabilities?
Text generation
Text completion
Question-answering
ChatGPT can answer every question that is part of its pre-trained knowledge. This will include world knowledge and general facts.
Summarization
Conversational AI
Sentiment analysis
Named entity recognition
Parts-of-speech tagging

ChatGPT has recently taken the news cycle by storm. The artificial intelligence language processor was launched for public use in December 2022 and gained popularity faster than juggernauts like Instagram and TikTok.

Since its introduction to the public, ChatGPT has reached 57 million active monthly users and is expected to have surpassed 100 million in January — a feat it took TikTok nine months and Instagram two and a half years to do.

With so much frenzy swirling around the program, you may have several questions about the technology. What is it? How does it work? Can anyone use it? Is it coming for everyone's jobs? Keep reading for the full rundown on ChatGPT.

What is ChatGPT?

ChatGPT is an artificial intelligence program developed by a company called OpenAI. In 2015, Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever and Wojciech Zaremba founded OpenAI, an artificial intelligence research organization. OpenAI has other programs, but ChatGPT was introduced in 2018.

ChatGPT is based on GPT-3, the third model of the natural language processing project. The technology is a pre-trained, large-scale language model that uses GPT-3 architecture to sift through an immense pool of internet data and sources to reference as its knowledge base.

This AI is a well of knowledge, but its ability to communicate is what sets it apart from other technology.

It has been fine-tuned for several language generation tasks, including language translation, summarization, text completion, question-answering and even human diction.

ChatGPT is a transformer-based neural network that provides answers and data with human writing patterns. The AI has been programmed with endless amounts of text data to understand context, relevancy and how to generate human-like responses to questions.

Other fast facts about ChatGPT include:

ChatGPT is large-scale. It has over 175 billion parameters, making it one of the largest language models ever.

ChatGPT is pre-trained. The program has a "set it and forget it" quality, meaning all the legwork to make it function has already happened.

ChatGPT is capable of multitasking. The program has more than one language function, so it can simultaneously juggle translation, summarization and answering questions.

ChatGPT responds in real time. Like a chatbot you'd find while online shopping, ChatGPT responds very quickly after you ask it a question or complete a task.

Essential terminology

When it comes to high-level AI, there are several terms used to explain how the technology works that need explaining themselves.

See below for a list of key terms that will help during the rundown of ChatGPT.

Artificial intelligence: AI is a sector of computer science that focuses on building systems that can perform tasks as humans do. Typical forms of AI include speech recognition, language translation and visual perception.

NLP: Natural Language Processing is a subsection of AI dedicated to the interaction between humans and computers using language. Through algorithms and models, NLP can analyze, comprehend and use language with human diction.

Neural network: A neural network is a machine learning algorithm that functions like a human brain. Just as the brain has pathways where information is stored and functions are carried out, AI uses neural networks to mimic that process to problem-solve, learn patterns and collect data.

Transformer: A transformer is a structure within the neural network meant for NLP tasks that use mechanisms to analyze input and generate output.

GPT: A generative pre-trained transformer is a transformer-based language developed by OpenAI, which is who gave it the name. This is the first version of the language processor and generator part of the program that is unique to OpenAI, as it can generate text in a human-like way.

GPT-3: This stands for Generative Pre-trained Transformer 3, based on the Transformer network architecture developed by OpenAI. It is the most dynamic version of GPT to date, as it has self-attention layers that allow the program to multitask, adjust in real time and generate a more authentic output.

Pre-training: This is just what it sounds like — it's the work OpenAI had to do to train the neural network to work how it wanted it to before it was ready for public consumption.

Fine-tuning: This part of training comes after pre-training. The program takes one task and trains it even further on a smaller, more specific task on more particular data. This is why ChatGPT can work so thoroughly.

API: An application programming interface is how the program remains uniform. It is a routine and guide for how each application is built. This allows new additions to the system to be integrated successfully.

How does ChatGPT work?

ChatGPT uses a vast neural network to produce the human-like language through which it communicates. But how does that process happen?

Take a look below for a step-by-step breakdown of the process:

Input processing: The human user types commands or questions into ChatGPT's text bar.

Tokenization: The text inputted is tokenized, meaning the program divides it into individual words to be analyzed.

Input embedding: The tokenized text is put into the neural network's transformer portion.

Encoder-decoder attention: The transformer encodes the text input and generates a probability distribution for all possible outputs. Then that distribution generates the output.

Text generation and output: ChatGPT generates its output answer, and the human user receives a text response.

What are ChatGPT's capabilities?

ChatGPT has extensive capabilities that will likely change the landscape of many industries.

The artificial intelligence program can complete tasks like:

Text generation.

Text completion.

Question-answering.

Summarization.

Text translation.

Conversational AI.

Sentiment analysis.

Named entity recognition.

Part-of-speech tagging.

Keep reading to find out more about each capability.

Text generation

ChatGPT is nothing without its text generation, as that is how it communicates with its human users. The program uses its pre-trained database to intake inputs and prompts and generates the appropriate response in a natural, human-like text structure.

Text completion

If you've ever wished to have a friend or a sibling that could finish your sentences, ChatGPT might just be the way to go.

ChatGPT can finish your inputted sentence based on content and meaning if you supply the beginning. It might not always be the ending you wanted, but the capability is there.

For example, if you typed a command asking to finish the sentence, "The rainbow is…." You might be thinking, "The rainbow is beautiful." But ChatGPT might respond, "Red, orange, yellow, green, blue, indigo, violet." This is because it pulls from its pre-trained knowledge to find the answer. It might not be able to read your mind, but it can read its data.


Question-answering

ChatGPT can answer every question that is part of its pre-trained knowledge. This will include world knowledge and general facts.

The program can also answer questions in the format that you like. So based on your preference, you can command ChatGPT to answer in bullet points, a list or short answers.

Summarization

If you input a long text into ChatGPT and command it to summarize the information, it will do so. You should not expect ChatGPT to summarize full-length novels, but a few pages of text is possible as it can handle up to 4095 tokens.

Conversational AI

One of ChatGPT's biggest highlights is that it can respond in human-like, conversational language.

This is a helpful way to receive and digest the output. It can also be useful for companies with ecommerce sites that want to integrate conversational interfaces for chatbots, virtual assistants and other applications.

Sentiment analysis

ChatGPT can actually determine sentiment or human feeling when analyzing text. For example, when a customer leaves a review on an ecommerce site, ChatGPT can analyze the text and determine if it is positive, negative or neutral.

This can be extremely useful for companies completing market research to gather data on their products and services.

Named entity recognition

ChatGPT can identify the names of people, organizations and locations. Keep in mind that ChatGPT's neural network lexicon only spans until 2021, so anything that exists after that will not be accessible.

Parts-of-speech tagging

The grammar engine of your dreams has arrived. ChatGPT is all about language, which means it's an expert on parts of speech. If you need a refresher on nouns, verbs, adjectives and sentence structures, ChatGPT is a great resource.

Article source
Entrepreneur Staff - Editor
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