MultiModal-GPT: Multiround Dialogue Chatbot Using Vision and Language Data

MultiModal-GPT is an innovative and groundbreaking model for conducting multiround dialogues with humans, using both vision and language data. This model is designed to follow diverse instructions, such as generating detailed captions, counting specific objects, and answering general inquiries from users. MultiModal-GPT is based on the GPT architecture and is efficiently fine-tuned from OpenFlamingo, with Low-rank Adapter (LoRA) incorporated in both the gated-cross-attention and self-attention components of the language model. With MultiModal-GPT, you can easily comprehend and adhere to human …

architecture chatbot data dialogue diverse general gpt humans language language data multimodal objects vision