Does Chatgpt answers questions by itslef?
The workflow of ChatGPT can be summarized as follows:
Input: The model receives a text prompt or question as input.
Tokenization: The input text is tokenized, i.e., it is converted into a sequence of sub-word or word tokens that the model can process.
Encoding: The input tokens are then passed through an encoder layer, which converts them into a compact representation.
Attention Mechanisms: The encoded representation is then passed through multiple transformer blocks, which use self-attention mechanisms to allow the model to focus on different parts of the input sequence.
Decoding: The decoder generates the response token by token, taking into account the input representation and the attention weights.
Generation: The decoding process continues until the model predicts an end-of-sequence token or a maximum length is reached.
Output: The output sequence is then converted back into a readable form, such as text.
Overall, the workflow of ChatGPT involves encoding the input sequence, processing it using attention mechanisms, and generating a response token by token based on the encoded input representation.