March 14, 2024, 8 a.m. | Tanya Malhotra

MarkTechPost www.marktechpost.com

Vision-Language Models (VLMs) have come a long way recently, as demonstrated by the success of OpenAI’s GPT4-V. Recent studies have shown that these models have demonstrated remarkable performance across a variety of vision-language tasks, including captioning, object localization, multimodal world knowledge, commonsense reasoning, visual question answering (VQA), and vision-based coding.  According to earlier studies, these […]


The post This AI Paper from Apple Delves Into the Intricacies of Machine Learning: Assessing Vision-Language Models with Raven’s Progressive Matrices appeared first on …

ai paper ai paper summary ai shorts apple applications artificial intelligence captioning editors pick gpt4 knowledge language language models localization machine machine learning multimodal object openai paper performance staff studies success tasks tech news technology vision vision-language models vlms world

More from www.marktechpost.com / MarkTechPost

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Senior Research Engineer/Specialist - Motor Mechanical Design

@ GKN Aerospace | Bristol, GB

Research Engineer (Motor Mechanical Design)

@ GKN Aerospace | Bristol, GB

Senior Research Engineer (Electromagnetic Design)

@ GKN Aerospace | Bristol, GB

Associate Research Engineer Clubs | Titleist

@ Acushnet Company | Carlsbad, CA, United States