Training CodeParrot 🦜 from Scratch

This article likely discusses the process of training the CodeParrot language model from the beginning. It would delve into the specifics of the training data, the architecture used (likely a transformer-based model), the computational resources required, and the training methodology. The article would probably highlight the challenges faced during the training process, such as data preparation, hyperparameter tuning, and the evaluation metrics used to assess the model's performance. It would also likely compare the performance of the trained model with other existing models.

• •The article likely details the steps involved in training a large language model.
• •It probably discusses the resources and infrastructure needed for such a project.
• •The article would likely present the performance of the trained model.