Multi-Modal learning refers to AI models that learn from multiple sources of data, such as text, images, and audio. By incorporating information from multiple modalities, these models can capture richer and more comprehensive representations. Multimodal Learning finds applications in areas like sentiment analysis, image captioning, and video understanding.
GPT is an advanced language model that uses Deep Learning techniques to generate human-like text. Built on the Transformer architecture, GPT models have been…