A Comprehensive Guide to Multimodal Large Language Models in Vision-Language Tasks

This repository contains materials for writing a comprehensive guide on Multimodal Large Language Models (MLLMs), focusing on their applications in vision-language tasks.

Table of Contents

1. Introduction to Multimodal Large Language Models (MLLMs)
2. Foundations of MLLMs[edit by Caitlyn]
3. Key Components of Vision-Language Models[edit by witt]
4. Training and Fine-tuning MLLMs[edit by WeiAn]
5. Applications of MLLMs in Vision-Language Tasks[edit by Ming Li]
6. Case Studies of Prominent MLLMs[edit by Marcus]
7. Challenges and Limitations[edit by deviser]
8. Ethical Considerations and Responsible AI[edit by Pu Tian]
9. Conclusion