This project focused on fine-tuning a pre-trained large language model
(specifically GPT-3) for specialized natural language processing tasks. The
work involved adapting the model to perform better on domain-specific
data and exploring efficient fine-tuning techniques. Additionally, the
project extended to building custom applications leveraging large language models.