5 Top Natural Language Processing Trends
They propose that this phenomenon is a result of the dominant optimization algorithm used for training, known as Adam. It is observed that Adam can reach a state where the parameter update vector has a large norm and is essentially uncorrelated with the direction of descent on the training loss landscape, ultimately leading to divergence. Explore top NLP papers for April 2023, curated by Cohere For AI, covering topics like toxicity evaluation, large language model limitations, neural scaling laws, and retrieval-augmented models. Stay updated in the fast-evolving NLP field, and…
Read More