VeCLIP: Improving CLIP training through visually rich subtitles by Technical Terrence Team 03/06/2024 0 Article Summary: Large-scale web-crawled datasets are critical to the success of pre-training vision and language models such as CLIP. However, ...
CMU Researchers Introduce VisualWebArena: An AI Benchmark Designed to Evaluate the Performance of Multimodal Web Agents on Realistic, Visually Stimulating Challenges by Technical Terrence Team 02/10/2024 0 The field of artificial intelligence (ai) has always had the goal of automating everyday computing operations using autonomous agents. Basically, ...
This AI article presents a comprehensive analysis of GPT-4V’s performance in visually answering medical questions: insights and limitations by Technical Terrence Team 11/10/2023 0 A team of researchers from Lehigh University, Massachusetts General Hospital, and Harvard Medical School recently conducted a comprehensive evaluation of ...