In an age characterized by the vast and ever-expanding wealth of information available on the internet, search engines have become an indispensable tool for the discovery and retrieval of knowledge.

Generative AI and Large Language Models (LLMs) have achieved remarkable success in Natural Language Processing (NLP) tasks, and their evolution now extends to performing actions beyond text ...

The rapid rise of generative AI — particularly the large language models (LLMs) that now dominate the natural language processing (NLP) domain — has put AI into the public spotlight like never before.

From drug discovery and protein folding to tumour detection, AI is revolutionizing the biomedical and healthcare fields. Recent research into brain-computer interfaces (BCIs) has revealed their ...

In the realm of tackling progressively intricate challenges, Deep Neural Networks (DNNs) have witnessed a rapid expansion in size and complexity, leading to heightened demands on computing power and ...

The latest advancements in language models (LMs), exemplified by GPT-4 (OpenAI, 2023), PaLM (Anil et al., 2023), and LLaMa (Touvron et al., 2023), have demonstrated remarkable capabilities in natural ...

In the realm of deep learning, much emphasis has been placed on deciphering digital media files that resonate with human understanding. Yet, amidst this pursuit, the ubiquitous presence of native ...

In a new paper LangSplat: 3D Language Gaussian Splattin, a research team from Tsinghua University and Harvard University introduces LangSplat, a groundbreaking 3D Gaussian Splatting-based method ...

The Multimodal Large Language Model (MLLM) has recently emerged as a prominent research focus, harnessing the capabilities of powerful Large Language Models (LLMs) to undertake diverse multimodal ...

Large Language Models (LLMs) have showcased remarkable capabilities in recent years. One of the most intriguing facets of their capabilities is their adeptness across a wide variety of tasks.

Transformer-based large language models (LLMs) are rapidly expanding in both their applications and size. OpenAI’s GPT, for example, has ballooned from 117 million to 175 billion parameters since its ...

The realm of image design and generation has long relied on human ingenuity to translate high-level user concepts into vivid visual creations. This typically involves laborious efforts to provide ...