How Does ChatGPT Work? | Simplified

Key Takeaways

at this point there is no need to introduce chat GPT but have you ever wondered how it actually works technically chat GPT is the website but the magic happens in the model behind it called GPT which stands for generative pre-trained Transformer a fancy wording for giant language model that's strained in a giant data set to create this kind of background wisdom knowledge that's contained within the internet and then somehow adding a little bit of human guidance on top of it through this process makes it seem so much more awesome chat GPT Works in two main phases pre-training and inference during pre-training GPT is fed a vast amount of text Data from the internet books articles websites you name it this data helps GPT learn the structure of language it learns grammar facts about the world and even reasoning abilities by analyzing all this information but how does GPT process all this text it uses a special architecture called a Transformer Transformers are like the brain of GPT they allow it to process entire sentences at once and understand context through a mechanism called self attention but GPT doesn't see words like we do that's why the Transformer breaks text into tokens words parts of words or even punctuation marks as the Transformer processes these tokens it adjusts billions of internal connections think of it like a giant game of connect the dots where each dot represents a piece of information through the this process GPT learns to predict what tokens are likely to come next in a sequence it's like learning to complete a puzzle but with Language by the end of pre-training GPT can take any input break it into tokens process it through its Transformer Network and predict what should come next now let's see what happens when you type a prompt into chat GPT this is called the inference phase just like in pre-training your input is broken into tokens these tokens are then fed into the trained GPT model the model processes your input using its Transformer architecture it pays attention to different parts of your prompt to understand the Contex based on its training the model calculates the probability of different tokens coming next it then selects the most likely one this process repeats with each new token influencing the next until a complete response is generated the initial response contains potentially harmful information so it's caught by the safety filter then the safety system rewrites the response if you enjoyed this video don't forget to leave a like if you have any questions don't hesitate to comment down below and subscribe for more content like this