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

Microsoft's new small language model, Mu, powers on-device AI agent that understands user intent and automate tasks in ...

integrating an image encoder and a multi-modality encoder-decoder. This enables the model to handle various vision tasks, without requiring task-specific architectural modifications . “ ...

Vision-language models (VLMs ... Florence 2, despite being an older model, continues to deliver competitive results. Its encoder-decoder architecture ensures strong performance in both raw ...

pixel streams for vision, etc. During training, this encoder learns to convert input information into a compressed latent space representation, which subsequent model components then process to ...

It employs a vision transformer encoder alongside a large language model (LLM). The vision encoder converts images into tokens, which an attention-based extractor then aligns with the LLM.