How chatGPT works

ChatGPT is a powerful language model developed by OpenAI. It’s built on a type of architecture known as Transformer, which is inherently a feedforward network. This means that information in the model flows in one direction only, from the input layer to the output layer, without any loops, as you would find in a recurrent network. This structure enables parallel processing of sequential data, making it highly efficient.

The Transformer architecture, upon which ChatGPT is built, employs a mechanism known as “attention” that allows the model to weigh the importance of different words in the input when generating each word in the output. It doesn’t have an inherent sense of time in data unlike Recurrent Neural Networks, but it uses positional encoding to capture the order of words.

One of the distinguishing features of ChatGPT is its sensitivity to context. It is able to generate highly context-relevant responses based on the information it has been fed. It’s worth noting that this sensitivity to context is both a strength and a limitation. While it allows ChatGPT to generate highly coherent and contextually accurate responses, it also means that the model is only as good as the context it is given. It doesn’t possess a memory of past requests beyond the current conversation and can’t access or retrieve personal data unless it has been shared in the course of the conversation.

Ultimately, ChatGPT doesn’t understand context in the way humans do. It doesn’t truly understand the content it’s generating but makes statistically informed decisions on what word should come next based on the context it’s given.

Let’s clear up some myths and highlight the realities:

Myth 1: ChatGPT understands and knows everything.
Reality: ChatGPT doesn’t actually understand information in the same way that humans do. It uses patterns in the data it was trained on to generate responses. It doesn’t know anything beyond what was present in the data it was trained on, and it can’t access or learn new information after its training cut-off (for the current model, it’s up to September 2021).

Myth 2: ChatGPT has access to personal data and the internet.
Reality: ChatGPT doesn’t have access to personal data about individuals unless it has been shared in the conversation. It doesn’t store personal data from one interaction to the next. Furthermore, it doesn’t have the ability to access or retrieve information from the internet or any external databases.

Myth 3: ChatGPT can make its own decisions and has its own beliefs or desires.
Reality: ChatGPT doesn’t have beliefs, desires, or consciousness. It doesn’t make decisions in the way humans do. Instead, it generates responses based on patterns it learned during training.

Myth 4: ChatGPT can perfectly replicate human conversation.
Reality: While ChatGPT can generate impressively human-like text, it’s not perfect. It can sometimes write things that are incorrect, nonsensical or inappropriate – the so called halucinations. Also, the quality of the output can depend heavily on the quality and specificity of the input it receives.

Myth 5: ChatGPT is creating its responses from scratch.
Reality: ChatGPT generates responses based on patterns and information in the data it was trained on. It doesn’t create ideas or responses out of the blue, but rather remixes and recombines elements from its training data.

Understanding these realities can help users interact more effectively with ChatGPT, leveraging its strengths while being aware of its limitations.