This text describes a tutorial on how to train a GPT model using the open-source dlt repository, with the assistance of Langchain and Deeplake services. The tutorial provides a step-by-step guide on how to install necessary modules, create accounts on platforms, clone repositories, load data from directories, split files into chunks, create a Deeplake dataset, initialize a GPT model, and experiment with different questions to test the model's output. The result shows that the GPT model can learn about the open-source library dlt and provide personalized answers based on user queries.