A vision encoder is a necessary component for allowing many leading LLMs to be able to work with images uploaded by users.

Multimodal LLMs contain an encoder, LLM, and a “connector” between the multiple modalities. The LLM is typically pre-trained. For instance, LLaVA uses the CLIP ViT-L/14 for an image encoder and Vicuna ...

The key to addressing these challenges lies in separating the encoder and decoder components of multimodal machine learning models. Modern multimodal models (for speech generation or visual ...

decoder modules, text encoders, and multimodal fusion modules, to enhance the model's ability to interpret and answer visual queries effectively[8]. Aggression detection models provide another ...

Encoder-decoder models combine both components ... For me, the most exciting applications of transformer models are multimodal models. OpenAI’s GPT-4o, for instance, is capable of handling ...

In this paper, we introduce the world’s first 8K 120-Hz video real-time encoder and decoder that complies with ARIB STD-B32 1) . We evaluated the coding efficiency and demonstrated that 8K 120 ...