Chat GPT is an advanced language model developed by Open AI. It is based on the GPT (Generative Pre-trained Transformer) architecture, specifically GPT-3.5. As a language model, Chat GPT is designed to understand and generate human-like text based on the input it receives.
The underlying technology behind Chat GPT is deep learning, particularly transformer neural networks. These networks are trained on vast amounts of text data to learn patterns, relationships, and contextual understanding of language. During the training process, the model learns to predict the next word in a sentence based on the preceding words, which enables it to generate coherent and contextually relevant responses.
Chat GPT's training data comes from various sources, including books, articles, websites, and other text-based content. The model does not have access to the internet or real-time information, and its knowledge is based on what it has learned up until its knowledge cutoff, which is September 2021 in the case of this particular instance.
When you provide a prompt or ask a question to Chat GPT, it analyzes the input, breaks it down into segments, and generates a response based on the patterns it has learned during training. It considers both the immediate context and the broader context of the conversation to generate relevant and coherent text. However, it's important to note that Chat GPT's responses are generated based on statistical patterns and do not have inherent understanding or consciousness.
To create a reward model for reinforcement learning, we needed to collect comparison data, which consisted of two or more model responses ranked by quality. To collect this data, we took conversations that AI trainers had with the chatbot
Open AI has made ongoing improvements to the GPT architecture, and there may be newer versions of the model with enhanced capabilities since the knowledge cutoff of this particular instance.
Limitations
Open AI acknowledges that Chat GPT "sometimes writes plausible-sounding but incorrect or nonsensical answers This behavior is common to large language models and is called hallucination.
In training Chat GPT, human reviewers preferred longer answers, regardless of actual comprehension or factual content
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