Large language models (LLMs) have achieved remarkable advancements in natural
language processing, showcasing exceptional performance across various tasks. However …

The emergence of accurate open large language models (LLMs) has led to a race towards
quantization techniques for such models enabling execution on end-user devices. In this …

Large language models (LLM) have demonstrated emergent abilities in text generation,
question answering, and reasoning, facilitating various tasks and domains. Despite their …

Powerful foundation models, including large language models (LLMs), with Transformer
architectures have ushered in a new era of Generative AI across various industries. Industry …

Rapid advancements in GPU computational power has outpaced memory capacity and
bandwidth growth, creating bottlenecks in Large Language Model (LLM) inference. Post …

Tremendous investments have been made towards the commodification of diffusion models
for generation of diverse media. Their mass-market adoption is however still hobbled by the …