Optimizing Dataset Preparation for Fine-Tuning GPT Models Using Cosine Similarity

Leveraging cosine similarity to estimate the minimum dataset size required for fine-tuning GPT models, thereby expediting the dataset preparation phase and improving the efficiency of email classification tasks.