How GPT is Constructed

This article from Machine Learning Street Talk likely delves into the technical aspects of building GPT models. It would probably discuss the architecture, training data, and the computational resources required. The analysis would likely cover the model's size, the techniques used for pre-training and fine-tuning, and the challenges involved in scaling such models. Furthermore, it might touch upon the ethical considerations and potential biases inherent in large language models like GPT, and the impact on society.

• •Understanding the architecture of GPT models.
• •Learning about the data used to train GPT.
• •Recognizing the computational requirements for building such models.