evaluation metrics

are notoriously difficult to design and implement. Despite the hype and the flood of recent frameworks, especially within the generative AI space, turning these projects into real, tangible value stays a serious challenge...

If you may have been following AI today, you may have likely seen headlines reporting the breakthrough achievements of AI models achieving benchmark records. From ImageNet image recognition tasks to achieving superhuman scores in...

While Large Vision-Language Models (LVLMs) could be useful aides in interpreting a number of the more arcane or difficult submissions in computer vision literature, there's one area where they're hamstrung: determining the merits and...

Diffusion models have emerged as a strong approach in generative AI, producing state-of-the-art leads to image, audio, and video generation. On this in-depth technical article, we'll explore how diffusion models work, their key innovations,...