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@@ -48,3 +48,15 @@ ChatGPT is a large language model developed by OpenAI. It is an artificial intel
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ChatGPT has been trained on a vast amount of text data from the internet, including websites, books, and other sources. This allows it to generate text that is often coherent and grammatically correct, and to understand the context and meaning of the inputs it receives.
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ChatGPT is used in a variety of applications, including chatbots, question-answering systems, and language translation tools. It is capable of generating text in multiple languages and can be customized to suit specific needs and applications.
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## β How does ChatGPT work? π€
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ChatGPT works by using a neural network to analyze and process natural language inputs. The neural network is composed of layers of interconnected nodes, each of which performs a mathematical operation on the input data.
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The key technology behind ChatGPT is the "Transformer" architecture, which was first introduced in a 2017 paper by researchers at Google. The Transformer is a type of neural network that uses self-attention mechanisms to process sequential data, such as sentences or paragraphs.
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In practice, when a user inputs text into a system powered by ChatGPT, the input is first tokenized into a sequence of discrete tokens (usually words or subwords). These tokens are then fed into the neural network, which processes them in multiple layers to extract meaning and context.
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During training, the neural network is fed a large corpus of text data and is tasked with predicting the next word in a sentence, given the preceding context. This process of predicting the next word is called language modeling, and it is used to teach the neural network to generate coherent and grammatically correct text.
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Once ChatGPT has been trained on a large corpus of text data, it can be used to generate new text based on an input prompt or to answer questions based on its understanding of the context and meaning of the input. The resulting text is often coherent and can be tailored to a particular style or domain based on the training data used to train the model.
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