Welcome to this repository dedicated to the study of Vision Language Models (VLM).
Vision Language Models are at the forefront of artificial intelligence, merging visual data processing with natural language understanding. This integration allows for enhanced interaction between visual content and language, paving the way for advancements in areas such as image captioning, visual question answering, and much more.
- Research Papers: A collection of significant papers that have contributed to the field of VLM.
- Concepts: Important theories, terminologies, and frameworks that are essential for understanding VLM.
- Linear Algebra: Key concepts of linear algebra necessary for understanding VLM.
- Probability and Statistics: Fundamental probability and statistics concepts relevant to VLM.
- Further Reading: Curated links to additional resources, tutorials, or courses that may aid in studying VLM.
For any questions or suggestions, please feel free to open an issue or reach out to me.
Happy studying!