Sept. 13, 2023, 2:27 p.m. | Kunal Kejriwal

Unite.AI www.unite.ai

Recently, Large Vision Language Models (LVLMs) such as LLava and MiniGPT-4 have demonstrated the ability to understand images and achieve high accuracy and efficiency in several visual tasks. While LVLMs excel at recognizing common objects due to their extensive training datasets, they lack specific domain knowledge and have a limited understanding of localized details within […]


The post AnomalyGPT: Detecting Industrial Anomalies using LVLMs appeared first on Unite.AI.

accuracy artificial intelligence datasets domain domain knowledge efficiency excel images industrial knowledge language language models llava minigpt minigpt-4 objects tasks training understanding vision

Senior AI/ML Developer

@ Lemon.io | Remote

Earthquake Forecasting Post-doc in ML at the USGS

@ U. S. Geological Survey | Remote, US

AI Product Manager

@ Uniphore | New York City

Senior Data Analyst, Marketing & Enrollment

@ Adtalem Global Education | Remote, REMOTE, United States

Data Analyst

@ FinClear | Melbourne, Australia

Senior Data Analyst - Subsurface

@ Verisk | Astana, Kazakhstan