What methods or metrics did you use to evaluate how well your LLM performs?

Focus on specific evaluation methods and metrics relevant to large language models (LLMs). Discuss quantitative metrics such as accuracy, precision, recall, F1 score, and perplexity, and explain how you applied them to assess model performance. Include qualitative assessments, like user feedback or human evaluation, to demonstrate a holistic approach. Be prepared to explain any trade-offs between different metrics and how they influenced your decision-making process. Highlight any tools or frameworks you used for evaluation, and if applicable, mention how you iterated on the model based on these evaluations.