LLM Book 8 - Zero-Shot Learning and Few-Shot Learning with Large Language Models for Novices

Table of Contents

1. Introduction

1.1 What are Large Language Models?

1.2 What are Zero-Shot Learning and Few-Shot Learning? 1.3 Why are They Useful and Challenging?

1.4 How to Use This Book

2. Zero-Shot Learning with Large Language Models

2.1 The Concept of Natural Language Prompts

2.2 The Design and Evaluation of Prompts

2.3 Examples of Zero-Shot Learning Tasks

2.4 Limitations and Risks of Zero-Shot Learning

3. Few-Shot Learning with Large Language Models

3.1 The Concept of Few-Shot Learning

3.2 The Methods and Techniques of Few-Shot Learning 3.3 Examples of Few-Shot Learning Tasks

3.4 Limitations and Risks of Few-Shot Learning

4. Advanced Topics and Future Directions

4.1 Meta-Learning and Self-Supervised Learning

4.2 Multi-Task and Multi-Domain Learning

4.3 Adversarial and Robust Learning

4.4 Ethical and Social Implications

5. Conclusion

5.1 Summary of the Main Points

5.2 Practical Tips and Recommendations 5.3 Further Resources and References