Chat GPT, or the GPT (Generative Pre-trained Transformer) language model, was developed using a combination of several programming languages and tools.
The core model architecture was developed using the Python programming language, using the PyTorch deep learning framework. The model was trained on massive amounts of text data from various sources, including books, articles, and websites, which were preprocessed using a range of tools such as Apache Spark, Hadoop, and MapReduce.
Additionally, the model was fine-tuned using a range of natural language processing (NLP) techniques and tools, including spaCy, NLTK, and Stanford CoreNLP.
So while Python was the primary language used to develop the GPT model, a variety of other languages and tools were also employed throughout the development and training process.
