ChatGPT how it works at a high level
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how the artificial intelligence works
ChatGPT is a language model based on the transformer architecture that was trained by OpenAI on a large corpus of text data. It uses machine learning techniques to generate text that is coherent and semantically meaningful based on the input it receives.
Here's how it works at a high level:
1. Input: The model takes an input sequence of text, such as a question or a prompt, as input.
2. Encoding: The input text is first processed and converted into a numerical representation, called an encoding, which captures the semantic meaning of the input text.
3. Attention: The model then uses attention mechanisms to selectively focus on different parts of the input encoding when generating the output text. This allows it to generate more relevant and context-aware responses.
4. Decoding: The model uses the input encoding and attention information to generate an output sequence of text one word at a time. It does this by predicting the probability distribution over the vocabulary for each word in the output sequence, and then selecting the most likely word based on that distribution.
5. Output: The output sequence of text is generated word by word, and the process continues until the model generates an end-of-sequence token or reaches a maximum length. The final output is then returned as the response to the input text.
how the artificial intelligence works
This is a simplified explanation of how ChatGPT works,
