Multi-modal learning is the ability of a model to understand and process different types of data at once. Our focus in this field is to use a mix of data containing various formats such as images, text, audio, and videos to its fullest capacity by leveraging the unique information that each data format contains. For example, we could build large-scale databases that contain both images and text for specific topics, or link language models to TTS technology so we can generate audio that fits the context and meaning of what is to be said. KRAFTON AI no longer classifies deep learning applications into individual fields, but rather tries to take a more general approach in solving more complicated and difficult problems. We must fuse together technologies spanning all fields to make possible the interaction between humans and computers that we envision.