%0 Generic %1 chen2023meditron70b %A Chen, Zeming %A Cano, Alejandro Hernández %A Romanou, Angelika %A Bonnet, Antoine %A Matoba, Kyle %A Salvi, Francesco %A Pagliardini, Matteo %A Fan, Simin %A Köpf, Andreas %A Mohtashami, Amirkeivan %A Sallinen, Alexandre %A Sakhaeirad, Alireza %A Swamy, Vinitra %A Krawczuk, Igor %A Bayazit, Deniz %A Marmet, Axel %A Montariol, Syrielle %A Hartley, Mary-Anne %A Jaggi, Martin %A Bosselut, Antoine %D 2023 %K Med Pratik %T MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

@misc{chen2023meditron70b, added-at = {2024-05-25T09:09:46.000+0200}, archiveprefix = {arXiv}, author = {Chen, Zeming and Cano, Alejandro Hernández and Romanou, Angelika and Bonnet, Antoine and Matoba, Kyle and Salvi, Francesco and Pagliardini, Matteo and Fan, Simin and Köpf, Andreas and Mohtashami, Amirkeivan and Sallinen, Alexandre and Sakhaeirad, Alireza and Swamy, Vinitra and Krawczuk, Igor and Bayazit, Deniz and Marmet, Axel and Montariol, Syrielle and Hartley, Mary-Anne and Jaggi, Martin and Bosselut, Antoine}, biburl = {https://www.bibsonomy.org/bibtex/2a3d00e2316521460edbdeee1af55758e/praskand}, description = {MEDITRON-70B: Scaling Medical Pretraining for Large Language Models}, eprint = {2311.16079}, interhash = {dc61ff0761b308a30cfc38b03904a028}, intrahash = {a3d00e2316521460edbdeee1af55758e}, keywords = {Med Pratik}, primaryclass = {cs.CL}, timestamp = {2024-05-25T09:09:46.000+0200}, title = {MEDITRON-70B: Scaling Medical Pretraining for Large Language Models}, year = 2023 }