Towards Foundational AI Models for Additive Manufacturing: Language
Models for G-Code Debugging, Manipulation, and Comprehension

Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension

4 September 2023

Anushrut Jignasu

Kelly O. Marshall

Baskar Ganapathysubramanian

Aditya Balu

A. Krishnamurthy

Papers citing "Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension"

6 / 6 papers shown

Title
AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text Ximing Lu Melanie Sclar Skyler Hallinan Niloofar Mireshghallah Jiacheng Liu ... Allyson Ettinger Liwei Jiang Khyathi Raghavi Chandu Nouha Dziri Yejin Choi DeLMO 42 11 0 05 Oct 2024
Ask Me Anything: A simple strategy for prompting language models Simran Arora A. Narayan Mayee F. Chen Laurel J. Orr Neel Guha Kush S. Bhatia Ines Chami Frederic Sala Christopher Ré ReLM LRM 197 160 0 05 Oct 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,296 0 17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020