no code implementations • 9 Apr 2024 • Shaona Ghosh, Prasoon Varshney, Erick Galinkin, Christopher Parisien
As Large Language Models (LLMs) and generative AI become more widespread, the content safety risks associated with their use also increase.
no code implementations • 4 Apr 2024 • Makesh Narsimhan Sreedhar, Traian Rebedea, Shaona Ghosh, Christopher Parisien
Recent advancements in instruction-tuning datasets have predominantly focused on specific tasks like mathematical or logical reasoning.
1 code implementation • 16 Oct 2023 • Traian Rebedea, Razvan Dinu, Makesh Sreedhar, Christopher Parisien, Jonathan Cohen
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
no code implementations • 10 Nov 2022 • Makesh Narsimhan Sreedhar, Christopher Parisien
We show that canonical forms offer a promising alternative to traditional methods for intent classification.
no code implementations • 2 Feb 2022 • Xi Yang, Aokun Chen, Nima PourNejatian, Hoo Chang Shin, Kaleb E Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Mona G Flores, Ying Zhang, Tanja Magoc, Christopher A Harle, Gloria Lipori, Duane A Mitchell, William R Hogan, Elizabeth A Shenkman, Jiang Bian, Yonghui Wu
GatorTron models scale up the clinical language model from 110 million to 8. 9 billion parameters and improve 5 clinical NLP tasks (e. g., 9. 6% and 9. 5% improvement in accuracy for NLI and MQA), which can be applied to medical AI systems to improve healthcare delivery.