What is ChatGPT-3? Why It Has Become So Popular?

OpenAI's ChatGPT-3 is a cutting-edge language processing AI model which can generate human-like texts includes answering questions.
By Dhirendra Kumar coingape-authors
December 16, 2022 Updated May 23, 2025

In a nutshell, ChatGPT 3 is the most powerful language model ever built. GPT-3 is an abbreviation for “Generative Pre-trained Transformer 3”.

OpenAI’s ChatGPT-3 is a cutting-edge language processing AI model. It can generate human-like text and offers a wide range of applications, including language translation, language modeling, and text generation for chatbots.

With 175 billion parameters, it is one of the largest and most sophisticated language processing AI models to date.

OpenAI, a research company co-founded by Elon Musk and Sam Altman, has developed ChatGPT-3. GPT-3 has been hailed as the most significant and useful improvement in artificial intelligence in years.

WHAT ChatGPT-3 Can Do?

GPT-3 can generate anything with a language structure, which includes answering questions, writing essays and poetry, summarizing long texts, translating languages, convincingly chatting, and even writing computer code.

OpenAI’s language model has been designed to interact in a conversational manner. The dialogue format makes it possible for ChatGPT-3 to answer follow-up questions, confess mistakes, dispute faulty premises, and reject unsuitable requests.

Why Has ChatGPT-3 Been So Popular?

Unlike other neural networks, GPT-3 can produce long sequences of the original text as its output rather than a number score or a yes-or-no answer.

ChatGPT was trained on massive amounts of text data. It learned to recognize patterns, allowing it to generate its own text that mimics diverse writing styles.

 It was not developed with domain knowledge, despite the fact it can do domain-specific tasks such as foreign-language translation.

Without supervision, the GPT-3 model can generate texts of up to 50,000 characters. It can also create fictional stories as well as factual texts.

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ChatGPT-3 Training

The model was trained using online text databases. This includes 570 GB of filtered text acquired from books, webtexts, Wikipedia, articles, and other pieces of writing on the internet, and over 45 TB of unfiltered text.  To be more specific, 300 billion words were fed into the system.

It operates on probability and can predict what the next word in a sentence should be.

The Future of ChatGPT-3

GPT3 technology is currently in beta testing. We hope to see a lot more interesting and profound implementations of the technology in the coming years.

According to OpenAI’s most recent investment pitch, the company expects $200 million in income next year and $1 billion by 2024, as reported by Reuters (based on information from sources).

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Dhirendra Kumar
Dhirendra is a writer, producer, and journalist who has worked in the media industry for more than 3 years. A technology enthusiast, a curious person who loves to research and know about things. When he is not working, you can find him reading and understanding the world through the lens of the Internet.
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