Reducing the Computational Cost of LLMs with Multi-word Tokenization for Sequence Compression
The advent of large language models (LLMs) has led to many breakthroughs in the field of Natural Language Processing (NLP), and its effects on the world at large have been transformative for organizations in most every industry. However, the massive size of LLMs—hundreds of billions of parameters, for example—and their generic nature (due to the … Continued