Understanding the difference between ChatGPT and GPT3

The world of AI. Understanding the difference between ChatGPT and GPT3

ChatGPT confusion

At the time of writing, since the launch of ChatGPT in late November 2022, many solutions have appeared on the market claiming the ChatGPT brand. However, I am here to clarify that these solutions are not ChatGPT but rather GPT3 solutions.

There seems to be a lot of confusion between ChatGPT and GPT3.

Added to this are some solutions on the market that claim to use ChatGPT, which are either completely wrong, trying to ride the hype train, or really confused with the underlying technology.

What is the difference between ChatGPT and GPT3?

So you might be wondering what the difference is between ChatGPT and GPT3.

GPT3 stands for Generative Pre-trained Transformer, which is a Large Language Model (LLM) developed by OpenAI and released in June 2020. The GPT3 model was further iterated in GPT3.5, also known as InstructGPT, to improve the ability to follow instructions. and complete tasks.

If you use the Davinci model from OpenAI’s API, you use InstructGPT or GPT3.5.

Many companies have already used GPT3 and GPT3.5 to improve their existing products and create new ones, such as AI-assisted writing tools. However, this is not ChatGPT.

ChatGPT has undergone further training including RLHF (Reinforcement Learning from Human Feedback).

The training process involved humans revising and rewriting model-generated responses to make them more factually accurate and conversational.

The responses were then fed back to the model to teach it how to produce more human-like responses.

The model then went through a reward model training process where multiple responses were generated and ranked by humans based on their quality and relevance.

The data was then fed back to the model to teach it what a good response was.

OpenAI also used Proximal Policy Optimization (PPO), a reinforcement learning approach, to generate policies for the ChatGPT language model.

This process not only improved response accuracy and conversational breadth, but also taught the model to produce safer content by blocking racist, sexist, or inappropriate responses.

However, despite being built on the GPT3.5 model, ChatGPT produces better responses than GPT3.5 because it has been specifically trained to generate high-quality, human-like responses.

This is why people often get confused between the two models.

What can you do with GPT3?

GPT3 is incredibly powerful and don’t forget the foundation of ChatGPT. Its applications are extensive as it has an API to create plugins or tools that use large Language models.

It can generate text, answer questions, translate languages, summarize long articles, and even perform tasks like coding and creating charts. Here are some things you can do with GPT-3:

  • Text creation. GPT-3 can be used to create human-like text in a variety of styles, from creative writing to news articles and even poetry.
  • Answers to questions. GPT-3 can answer a wide range of questions with high accuracy, making it a useful tool for knowledge management and customer service.
  • Chatbots. GPT-3 can be used to develop advanced chatbots that can perform complex conversational tasks such as booking a flight or ordering food.
  • Translation of languages. GPT-3 can translate text from one language to another with human-level accuracy
  • Summary of contents: GPT-3 can summarize long articles or documents into concise summaries, making it easy to quickly understand the most important information.
  • Code generation. GPT-3 can write code from simple scripts to complete applications, making it a valuable tool for software development.
  • Creative applications. GPT-3 can be used for creative projects such as music, visual arts or even video game design.

What can you do with ChatGPT?

As I’ve covered before, ChatGPT is built to have conversations and do it well. So its chat capabilities (remember only its own chat interface) are better than GPT3 because it’s configured for it. It understands natural language input and generates human-like answers to questions and supports follow-up questions. Some of the things that can be done with ChatGPT include:

  • Answers to questions. ChatGPT can answer a wide range of questions, providing users with relevant and accurate information on a variety of topics.
  • Conversation simulation. ChatGPT can mimic human conversations, making it ideal for use in customer service, virtual assistance, and other scenarios where human-like interaction is needed.
  • Text creation. ChatGPT can be used to generate text such as product descriptions, titles and other types of content
  • Summary: ChatGPT can be used to summarize long articles, news reports, or other written content into shorter, more concise text.
  • Translation: ChatGPT can be used to translate text from one language to another, making it a useful tool for global communication.


So….ChatGPT is built on the GPT3.5 model, but is a conversational interface that is only accessible through a browser and has no publicly available API…at the time of writing. One thing we do know about conversational AI is that the landscape is changing fast and an API release is coming soon.

GPT3.5 is available via API and in the browser, and it is this technology that can be used to build many different applications, including chatbots.

It’s also worth noting that GPT3.5 can also be used to provide “Like” ChatGPT conversational experiences. Note that these are not ChatGPT, but it is possible to use GPT3.5 and add advanced conversational features that are similar. Thus, memory and context are combined with knowledge of a smaller domain, not the entire Internet.

This kind of contribution is possible and something we’re working on at The Bot Forge, so feel free to get in touch if you’d like to know more about it.

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