How ChatGPT Works?
• Everyone knows about ChatGPT but not everyone is aware of how it works.
Here is an attempt at explanation ↓
[ In 10 Steps ]
• It is a large language model based which uses a technique called "transformer" to understand and generate human-like responses to text-based input.
• Transformer is a neural network architecture that excels at processing sequential data, such as text.
• The model is trained on a massive amount of text data from a wide range of sources, such as books, articles, and websites.
• These resources allow the model to learn patterns and relationships in language.
• The training data is preprocessed to create a corpus of text.
• This corpus is then used to train the model to predict the next word or sequence of words given the preceding text.
• During training, the model is presented with a sequence of words and their corresponding responses (next word).
• It's task is to find the next word for the given sequence.
• The model's predictions are compared to the actual next word in the sequence
• The model's parameters (weights and biases) are adjusted to minimize the difference between the predicted and actual values.
• This process is repeated many times, with different contexts and sequences.
• We repeat the process until the model's parameters are optimized to accurately predict the next word in a wide range of contexts.
• Once trained, the model can be used to generate new text by providing it with a prompt or starting sentence, and letting it generate the rest of the text based on its learned patterns.
• ChatGPT is fine-tuned on specific tasks or domains, such as question-answering or customer service, to improve its performance in those areas.
• When generating text, ChatGPT uses a beam search algorithm to generate a sequence of words.
• These are the words which are most likely to form a coherent and grammatically correct sentence given the starting prompt or context.
• To generate a response, the model takes in the input then generates a probability distribution over all possible responses.
• Then the response with the highest probability is selected as the model output.
This is a gist of the entire process.
Overall, ChatGPT is a complex and sophisticated language model and a lot more that goes into training.
Hope this helps!