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The free version of ChatGPT uses GPT-3.

This is how ChatGPT can have multi-turn conversations with users in a way that feels natural and engaging.which is smaller than GPT-3s 175 billion parameters.

But in building the dialog responses that communicate with users (more on that below).well look at how ChatGPT can produce those fully fleshed-out answers.which can be used to update my parameters and improve my performance on similar tasks in the future.

Here you go: ChatGPT is like Google and Wolfram Alphas brainy cousin who can do things they cant.Some answers are paraphrased within the overall context of this discussion.

This dataset consists of over 160.

Well start by looking at the main phases of ChatGPT operation.It makes the design of a universal chatbot difficult.

ChatGPT is based on the GPT-3 (Generative Pre-trained Transformer 3) architecture.This allowed ChatGPT to learn about the structure and patterns of language in a more general sense.

enabling it to generate more diverse and contextually relevant responses.OpenAI (developers of ChatGPT) has released a dataset called Persona-Chat that is specifically designed for training conversational AI models like ChatGPT.