Models

As we experience the world, our senses (vision, sounds, smells) provide a various array of data, and we express ourselves using different communication methods, similar to facial expressions and gestures. These senses and communication...

Denoising Diffusion Models are generative AI frameworks that synthesize images from noise through an iterative denoising process. They're celebrated for his or her exceptional image generation capabilities and variety, largely attributed to text- or...

Motivations for Adopting Small Language ModelsThe growing interest in small language models (SLMs) is driven by several key aspects, primarily efficiency, cost, and customizability. These facets position SLMs as attractive alternatives to their larger...

12 min read·16 hours agoThe recent exponential advances in natural language processing capabilities from large language models (LLMs) have stirred tremendous excitement about their potential to realize human-level intelligence. Their ability to provide remarkably...

Math behind this parameter efficient finetuning methodNice-tuning large pre-trained models is computationally difficult, often involving adjustment of thousands and thousands of parameters. This traditional fine-tuning approach, while effective, demands substantial computational resources and time,...

Computational models that mimic the structure and performance of the human auditory...

Because of their capabilities, text-to-image diffusion models have develop into immensely popular within the artistic community. Nevertheless, current models, including state-of-the-art frameworks, often struggle to take care of control over the visual concepts and...

Within the ever-evolving domain of Artificial Intelligence (AI), where models like GPT-3 have been dominant for a very long time, a silent but groundbreaking shift is happening. Small Language Models (SLM) are emerging and...