Vision-Language Models (VLMs)

Vision-language models (VLMs) combine image, video and text understanding, enabling AI to recognize visual content, parse documents and perform multimodal reasoning. Recent advances range from desktop and edge models such as Phi-4 and LFM2.5-VL-3B to enterprise document-processing tools including Parse 5 and Unlimited-OCR, as well as MirroS, which converts video into executable physics code. PerceptionBench and PAS have also emerged to assess model capabilities and visual hallucinations. Key areas to watch include deployment costs, the reliability of evaluations and tangible benefits in public-sector and industrial workflows.