Large language models (LLMs), such as GPT-3, PaLM, and OPT, have dazzled the AI world with their exceptional performance and ability to learn in-context. However, their significant drawback is their ...

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 ...

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 ...

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 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 ...

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 ...