Tim Dettmers and colleagues, 2023
Tim Dettmers and colleagues’s words on QLoRA fine-tuning explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Category: AI – This Quote
Ben Mildenhall and colleagues, 2020
Ben Mildenhall and colleagues’s words on neural radiance fields explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Alexander Kirillov and colleagues, 2023
Alexander Kirillov and colleagues’s words on promptable image segmentation explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Ricky T. Q. Chen and colleagues, 2018
Ricky T. Q. Chen and colleagues’s words on neural ordinary differential equations explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Anmol Gulati and colleagues, 2020
Anmol Gulati and colleagues’s words on Conformer speech recognition explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Keyulu Xu and colleagues, 2018
Keyulu Xu and colleagues’s words on graph neural network expressiveness explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Albert Q. Jiang and colleagues, 2024
Albert Q. Jiang and colleagues’s words on sparse mixture-of-experts models explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Susan Zhang and colleagues, 2022
Susan Zhang and colleagues’s words on open language-model research explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Teven Le Scao and the BigScience Workshop, 2022
Teven Le Scao and the BigScience Workshop’s words on collaborative multilingual language models explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Mike Lewis and colleagues, 2019
Mike Lewis and colleagues’s words on denoising sequence-to-sequence pretraining explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Hyung Won Chung and colleagues, 2022
Hyung Won Chung and colleagues’s words on scaled instruction finetuning explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.
Yinhan Liu and colleagues, 2019
Yinhan Liu and colleagues’s words on RoBERTa pretraining explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.