If you have been on the internet over the past week you would not have been able to miss the news and conversations about the AI that was released in December. Over the past week I have explained this several times with family and friends and now also colleagues so I thought it would be great idea to make a simple to read article to explain it. Note there is plenty of details on the OpenAI site that explains what it is and how it works so if you are technical I would suggest you go there instead of reading my simplified version.
The simple TL:DR description
ChatGPT is a special program that uses a very advanced computer system called GPT-3 to have conversations with people just like a human would. It can understand what people say and generate responses that are similar to what a human would say in the same situation. You can talk to ChatGPT by typing out your message and hitting “send,” and then it will generate a response based on what you said. ChatGPT is really good at understanding the context of the conversation and generating appropriate responses, so it can be a lot of fun to chat with. You can even ask ChatGPT about different topics and it will try its best to answer your questions. ChatGPT is constantly learning from its conversations, so the more you talk to it, the better it gets at having natural and engaging conversations with people.
The easiest way to see it in action is to try it, its free and you can play right now here https://chat.openai.com/chat
The longer technical description
ChatGPT is a chatbot developed by OpenAI that uses the GPT-3 (Generative Pre-trained Transformer 3) language model to generate human-like responses in real-time conversations.
The GPT-3 language model is trained on a massive amount of data and is able to understand and generate human-like text with impressive accuracy. When combined with a chatbot interface, it allows ChatGPT to hold conversations with users just like a human would.
To use ChatGPT, users simply need to start a conversation with the chatbot and type out their message. The chatbot will then generate a response based on the input it received. The conversation can continue in this manner, with ChatGPT generating responses to each message it receives.
One of the key features of ChatGPT is its ability to generate coherent and contextually appropriate responses. This means that the chatbot is able to understand the context of the conversation and generate responses that are relevant to the topic being discussed.
Another feature of ChatGPT is its ability to learn from its conversations. As it engages in more conversations, it can improve its ability to generate human-like responses and hold more natural conversations with users.
What is the technical architecture?
- The GPT-3 language model: This is the core component of ChatGPT, and is responsible for generating human-like text based on the input it receives. The GPT-3 language model is trained on a massive amount of data and is able to understand and generate text with impressive accuracy.
- The chatbot interface: This is the component that allows users to interact with ChatGPT. It includes a text input field where users can type their messages and a display area where the chatbot’s responses are displayed.
- The conversation manager: This component is responsible for managing the flow of the conversation between the user and the chatbot. It tracks the context of the conversation and ensures that the chatbot’s responses are relevant to the topic being discussed.
- The learning module: This component is responsible for improving the chatbot’s performance over time. It tracks the conversations that the chatbot has with users and uses this data to improve its ability to generate human-like responses and hold more natural conversations.
If you are interested in tips tricks and links that might help your exploration, check out the community ChatGPT FAQs
Phillip Avelar is a Managing partner at Advanced Solutions, based in Chicago. He works with SAP enterprises to optimize their supply chains, increase productivity and challenges the status quo. He shares his passion for solving customers problems in his blog posts, industry articles and conference talks.