This e-book, "A Survey on Evaluation of Large Language Models," presents an in-depth study on methods of evaluating Large Language Models (LLMs). It covers vital aspects like significance of LLMs in AI research, different evaluation perspectives, various metrics, benchmarks, and datasets used in evaluation, and challenges in this field. The aim is to guide researchers towards responsible and beneficial advancement of LLMs.
Introduction and Importance of Large Language Models
Explore the significance of large language models in advancing AI research, their evaluation perspectives, and application scope.
Evaluation Perspectives and Ethical Considerations
Analyzing different methods and ethical aspects associated with evaluating Large Language Models effectively.
Metrics and Methodologies in LLM Evaluation
Explore metrics, methodologies, and key considerations in evaluating Large Language Models (LLMs) to enhance AI research.
Role of Benchmarks and Datasets in Evaluation
Exploring the significant role of benchmarks and datasets in the evaluation process of Large Language Models.
Applications and Case Studies of LLMs
Explore case studies and various applications of Large Language Models (LLMs) in fields like medicine, education and science.
Unpacking Challenges and Future Directions in LLM Evaluation
Explore the complexities, challenges, and future of evaluating Large Language Models in our comprehensive e-book.
