Diffusion models have achieved impressive advancements in various vision tasks. However,
these gains often rely on increasing model size, which escalates computational complexity …

With the rapid growth in the size and complexity of large language models (LLMs), the costs
associated with their training and inference have escalated significantly. Research indicates …

The rapid increase in the size of large language models (LLMs) has significantly escalated
their computational and memory demands, posing challenges for efficient deployment …

Large Language Models (LLMs) have transformed natural language processing, yet their
substantial model sizes often demand significant computational resources. To conserve …