The University of California, Santa Cruz has announced the release of OpenVision, a family of vision encoders that aim to provide a new alternative to models including OpenAI’s four-year-old ...

Vision Language Models are a rapidly emerging class of multimodal AI models expanding in importance in the automotive world. Market leader NVIDIA has a concise definition of VLMs: Vision Language ...

Idefics2 employed an autoregressive architecture with a robust vision encoder, while MiniCPM integrated elements from other models to handle high-resolution images effectively.

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.

Explore the top AI vision models so far of 2025, including Qwen 2.5 VL, Moondream, and SmolVLM, and find the best fit for your AI projects.

Pixtral’s architecture combines the Mistral Nemo text model with a custom vision encoder. Fine-tuning techniques like Low-Rank Adaptation (LoRA) extend Pixtral’s capabilities to custom datasets.

The models performed perfectly in counting five interlocking circles, a pattern they might be familiar with from common images of the Olympic rings. Rahmanzadehgervi, Bolton, Taesiri, Nguyen.