Artificial intelligence has recently been used in all spheres of life. Likewise, it is being used for video generation and video editing. AI has opened up new possibilities for creativity,…
Large language models (LLMs), particularly exemplified by GPT-4 and recognized for their advanced text generation and task execution abilities, have found a place in diverse applications, from customer service to…
The captivating domain of 3D animation and modeling, which encompasses creating lifelike three-dimensional representations of objects and living beings, has long intrigued scientific and artistic communities. This area, crucial for…
Creating dynamic 3D scenes through generative modeling holds significant promise for transforming how we develop games, movies, simulations, animations, and virtual environments. Although score distillation techniques are proficient at generating…
A challenge AI engineers face in machine learning is the need for a complex infrastructure to manage models. This often involves intricate setups and microservices to train and deploy models.…
The seamless integration of vision and language has been a focal point of recent advancements in AI. The field has seen significant progress with the advent of LLMs. Yet, developing…
Large Language Models (LLMs) have recently taken over the Artificial Intelligence (AI) community, all thanks to their marvelous capabilities and performance. These models have shown remarkable applications in almost every…
Researchers from the Massachusetts Institute of Technology(MIT), Meta, and Codec Avatars Lab have addressed the challenging task of single-view 3D reconstruction from a neural radiance field (NeRF) perspective and introduced…
In the evolving landscape of artificial intelligence and machine learning, the integration of visual perception with language processing has become a frontier of innovation. This integration is epitomized in the…
Artificial intelligence’s ascent of large language models (LLMs) has redefined natural language processing. However, deploying these colossal models poses a challenge, with post-training quantization (PTQ) emerging as a critical factor…