ChatGPT (Generative Pre-trained Transformer) is a chatbot launched by OpenAI in November 2022. It is built on top of OpenAI’s GPT-3.5 family of large language models, and is fine-tuned with both supervised and reinforcement learning techniques.
ChatGPT was launched as a prototype on November 30, 2022, and quickly garnered attention for its detailed responses and articulate answers across many domains of knowledge. Its uneven factual accuracy was identified as a significant drawback
GPT (short for “Generative Pre-training Transformer”) is a type of language model developed by OpenAI. It is a machine learning model that is trained to generate natural language text that is coherent and sounds like it was written by a human.
There are several steps involved in training a GPT model:
Collect and preprocess a large dataset of text. This can be done by web scraping, using a publicly available dataset, or creating your own dataset. The text should be cleaned and normalized to make it easier for the model to process.
Choose a model architecture and set the hyperparameters. GPT models are based on the transformer architecture, and there are many choices to be made when setting up the model, such as the number of layers, the size of the hidden state, and the type of attention mechanism to use.
Train the model on the dataset. This involves feeding the text data to the model and optimizing the model’s parameters to minimize the loss function. This can be done using a variety of optimization algorithms, such as Adam or SGD.
Evaluate the model on a held-out test set. This will give you an idea of how well the model is able to generalize to unseen data.
Fine-tune the model for a specific task. Once the model is trained on a large dataset, it can be fine-tuned for a specific task, such as translation or language generation, by training it on a smaller dataset specific to that task.