AI development is shifting from static, task-centric models to dynamic, adaptable agent-based systems suitable for various applications. AI systems aim to gather sensory data and effectively engage with environments, a…
A neural network model designed to combine the output of multiple expert subnetworks to make predictions or decisions is called Mixture of Experts ( MoE ). This architecture is particularly…
The digital content creation landscape is undergoing a remarkable transformation, and the introduction of Sora, OpenAI’s pioneering text-to-video model, signifies a breakthrough in this journey. This state-of-the-art diffusion model redefines…
BRANCH-SOLVE-MERGE (BSM) is a program for enhancing Large Language Models (LLMs) in complex natural language tasks. BSM includes branching, solving, and merging modules to plan, crack, and combine sub-tasks. Applied…
The intersection of artificial intelligence and the ancient game of chess has long captivated researchers, offering a fertile ground for testing the limits of computational strategy and intelligence. The journey…
Cartoon animation has seen significant progress since its beginnings in the early 1900s when animators would draw individual frames by hand on paper. While automation techniques have been introduced to…
Pretrained large language models (LLMs) boast remarkable language processing abilities but require substantial computational resources. Binarization, which reduces model weights to a single bit, offers a solution by drastically reducing…
The challenge of matching human preferences to big pretrained models has gained prominence in the study as these models have grown in performance. This alignment becomes particularly challenging when there…