How Does Chatgpt Work Under The Hood

ChatGPT is an incredible language model that has captured the attention of numerous individuals. Created by OpenAI, it possesses the capability to produce text that resembles human speech and engage in meaningful dialogues with users. In this piece, I aim to take you on a trip to unravel the inner workings of ChatGPT and share some of my observations and thoughts. Without further ado, let’s get started!

At the heart of ChatGPT is a deep learning model called a transformer. Transformers are a type of neural network architecture that excel in handling sequential data, like sentences or paragraphs. The transformer model used in ChatGPT is trained on a massive corpus of text from the internet, allowing it to learn grammar, facts, and even some degree of reasoning.

When you interact with ChatGPT, the underlying process involves two main steps: encoding and decoding. First, your input text is encoded into a numerical representation that the model can understand. This encoding step converts words or tokens into numerical vectors that contain information about the meaning and context of each word.

Next comes the decoding step, where the encoded input is used to generate a response. The model utilizes its knowledge of language and context to generate relevant and coherent text. It considers the encoded input, along with the previous generated tokens, to predict the most likely next token in the sequence. This process is repeated iteratively until the desired response is generated.

One of the challenges in training ChatGPT is striking a balance between generating creative and coherent responses while avoiding nonsensical or unsafe outputs. OpenAI has implemented various techniques to address this challenge. For example, they use a two-step process where the model first generates multiple completions, and then a separate, narrower model ranks those completions. This ranking model helps to filter out less desirable or potentially harmful responses.

It’s important to note that ChatGPT has certain limitations. It may occasionally produce incorrect or nonsensical answers, and it can be sensitive to slight changes in input phrasing. Additionally, it doesn’t possess real-world knowledge or true understanding of the concepts it talks about. It is essentially pattern matching and generating text based on the patterns it has learned from the training data. This is why it’s crucial to critically evaluate and verify the information provided by ChatGPT.

From a personal perspective, I find ChatGPT to be an impressive demonstration of the advancements in natural language processing and artificial intelligence. Its ability to generate coherent responses and engage in conversations is remarkable. However, it’s important to remember that ChatGPT is a tool, and like any tool, it has its limitations. It’s always a good idea to verify information from authoritative sources and approach the generated content with a critical mindset.


ChatGPT is a fascinating language model that utilizes transformers to generate human-like text. By encoding and decoding user inputs, it can generate coherent and context-aware responses. However, it’s important to be aware of its limitations and validate the information it provides. ChatGPT is a testament to the progress made in natural language processing, and it opens up exciting possibilities for the future of human-computer interactions.