Browsing: AI News
LLMs, pretrained on extensive textual data, exhibit impressive capabilities in generative and discriminative tasks. Recent interest focuses on employing LLMs for multimodal tasks, integrating them with…
In Multi-modal learning, large image-text foundation models have demonstrated outstanding zero-shot performance and improved stability across a wide range of downstream tasks. Models such as Contrastive…
Imagine an AI system that can recognize any object, comprehend any text, and generate realistic images without being explicitly trained on those concepts. This is the…
In AI, searching for machines capable of comprehending their environment with near-human accuracy has led to significant advancements in semantic segmentation. This field, integral to AI’s…
Image generation is rapidly advancing, and latent diffusion models (LDMs) are leading the charge. These powerful models can produce incredibly realistic and detailed images but often…
In the rapidly evolving digital communication landscape, integrating visual and textual data for enhanced video understanding has emerged as a critical area of research. Large Language…
The world of artificial intelligence has been abuzz with the remarkable achievements of Large Language Models (LLMs) like GPT, PaLM, and LLaMA. These models have demonstrated…
A team of Google researchers introduced the Streaming Dense Video Captioning model to address the challenge of dense video captioning, which involves localizing events temporally in…
In the field of machine learning, aligning language models (LMs) to interact appropriately with multimodal data like videos has been a persistent challenge. The crux of…
Digital artistry intersects seamlessly with technological innovation, and generative models have carved a niche, transforming how graphic designers and artists conceive and realize their creative visions.…