Decoding With PagedAttention and vLLM
Introduction In deep learning and natural language processing (NLP), model efficiency and scalability are essential. Two innovations that significantly enhance these qualities are Paged Attention and vLLM. These techniques optimize large language models (LLMs), improving performance without sacrificing accuracy. In this article, we explore how PagedAttention and vLLM work, their applications, and their significance in advancing […]