Aug. 29, 2022, 8:34 p.m. | Youness Mansar

Towards Data Science - Medium towardsdatascience.com

Leverage Large Language models to improve your model’s performance

Image By Author

Training NER models on small data sets can be a pain. It can be difficult to build a model that generalizes well on a non-trivial NER task when it is trained on a few hundred samples only. This kind of problem we will try to solve in this post.

First, we will define the task. Then, we will describe the different variations of the model’s architecture, and then …

bert data data set fine-tuning hugging face machine learning named-entity-recognition ner nlp set small

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Sr. Software Development Manager, AWS Neuron Machine Learning Distributed Training

@ Amazon.com | Cupertino, California, USA