Artificial Intelligence, Deep Learning, Machine Learning, Data Science.
values should be used for tasks where accuracy is paramount. Empirical Benchmarking: This involves using quantitative and qualitative measures to assess the impact of different (T) settings on model performance. Quantitative metrics could include BLEU scores for creative tasks or precision and