ChatGPT is one of the most impressive language models available today. It has revolutionized the way we think about computer-generated text and has become incredibly popular due to its ability to converse in a human-like way. While Chat GPT may seem like a creative AI, it is actually more statistics than actual creative intelligence.
At its core, ChatGPT is a neural network that mimics the structure of the human brain. The neural network is made up of artificial neurons connected to each other and sending signals based on the strength of those connections. The strength of these connections, known as weights, is adjusted during the training process to minimize the difference between the model's output and the training data.
The training process for ChatGPT involves feeding the model a massive amount of text, including digitized books, Wikipedia, and other sources. The model learns statistical patterns from this text, such as which words commonly appear together and how sentences are structured. These patterns are then used to generate text that sounds like a human wrote it.
Once the model is trained, it can generate text given some input. The input is represented as a sequence of numbers, with each number corresponding to a unique word in the English language. The model also uses an embedding to represent words and their relationships in a high-dimensional space. This allows the model to understand context and to generalize based on what it has learned from the training data.
One of the most impressive features of ChatGPT is its attention mechanism. This mechanism allows the model to focus on the most relevant parts of the input when generating text. The attention mechanism works by assigning weights to each word in the input based on its relevance to the output. This allows the model to generate text that is more coherent and relevant to the input.
While ChatGPT is highly successful at generating human-like text, it does not actually understand the meaning of the text it generates. Instead, it relies on statistical patterns in the training data to generate text that sounds like a human wrote it. This is why Chat GPT is more statistics than actual creative intelligence. What does ‘understand’ actually mean?
Despite this, ChatGPT has become incredibly popular due to its ability to converse in a human-like way. The model has been shown to have an IQ of 147, meaning that it can answer difficult questions and even pass the US medical licensing exam and bar exam. However, Chat GPT does not actually understand the meaning of the text it generates and should not be relied on for anything extremely important.
In summary, ChatGPT is a neural network language model that generates text based on statistical patterns learned from a massive amount of training data. It uses an embedding to represent words and their relationships in a high-dimensional space and an attention mechanism to focus on the most relevant parts of the input. While it is highly successful at generating text that sounds like a human wrote it, it does not actually understand the meaning of the text it generates. Nonetheless, ChatGPT has become incredibly popular and has the potential to revolutionize the way we think about computer-generated text.
But I still have question, is this just a neat mathematical palour trick?