Tag: Multimodal

Artificial Intelligence has witnessed a revolution, largely due to advancements in deep learning. This shift is driven by neural networks ...

Artificial intelligence has always faced the issue of producing high-quality videos that smoothly integrate multimodal inputs like text and graphics. ...

A promising new development in artificial intelligence called MobileVLM, designed to maximize the potential of mobile devices, has emerged. This ...

The development of multimodal large language models (MLLMs) represents a significant leap forward. These advanced systems, which integrate language and ...

Integrating multimodal data such as text, images, audio, and video is a burgeoning field in AI, propelling advancements far beyond ...

The emergence of Large Language Models (LLMs) has inspired various uses, including the development of chatbots like ChatGPT, email assistants, ...

Any activity that requires comprehension and production in one or more modalities is considered a multimodal task; these activities can ...

The realm of virtual assistants faces a fundamental challenge: how to make interactions with these assistants feel more natural and ...

In contemporary machine learning, foundation models, vast models pretrained on copious amounts of data and then modified for downstream tasks, ...

*=All authors listed have contributed equally to this work Successfully handling context is essential for any dialog-understanding task. This context ...