all AI news
ViTCN: Vision Transformer Contrastive Network For Reasoning
March 18, 2024, 4:44 a.m. | Bo Song, Yuanhao Xu, Yichao Wu
cs.CV updates on arXiv.org arxiv.org
Abstract: Machine learning models have achieved significant milestones in various domains, for example, computer vision models have an exceptional result in object recognition, and in natural language processing, where Large Language Models (LLM) like GPT can start a conversation with human-like proficiency. However, abstract reasoning remains a challenge for these models, Can AI really thinking like a human? still be a question yet to be answered. Raven Progressive Matrices (RPM) is a metric designed to assess …
abstract arxiv challenge computer computer vision conversation cs.cv domains example gpt however human human-like language language models language processing large language large language models llm machine machine learning machine learning models milestones natural natural language natural language processing network object processing reasoning recognition transformer type vision vision models
More from arxiv.org / cs.CV updates on arXiv.org
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
2 days, 4 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Research Scientist
@ Meta | Menlo Park, CA
Principal Data Scientist
@ Mastercard | O'Fallon, Missouri (Main Campus)