Training LLMs On Neurally Compressed Text Improves Performance
Training LLMs on neurally compressed text improves model performance, reduces size & speeds up inference times, with potential applications in NLP & generation tasks.
This is a Plain English Papers summary of a research paper called Training LLMs over Neurally Compressed Text. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter. Overview This paper explores the potential benefits of training large language models (LLMs) on neurally compressed text, rather than the original uncompressed text. The authors propose that training LLMs on compressed text can lead to improved performance, reduced model size, and faster inference times. They investigate the effects of different neural compressio...