Hi folks, we are currently advertising this position. Deadline is 15 Nov. Details here:
https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmedium.com%2F%40vaishakbelle%2Fnews-postdoctoral-position-in-large-language-models-and-explanability-878ee5821770&data=05%7C01%7Cuai%40engr.orst.edu%7C30ecf9774f61444839c208dbd624a6d7%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638339225119504635%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=EMgBhD8EBadumhD0n3P8hF8dWlpcWnIoo%2FYs0lzp9xw%3D&reserved=0 The School of Informatics, University of Edinburgh invites applications for Research Associate / Postdoctoral position in machine learning and large language models. Large language models are playing a crucial role in the new generation of generative AI technologies, which have brought about significant changes and breakthroughs from a technological perspective. However, many of these models are complex and incredibly extensive, comprising millions of parameters that are difficult to comprehend. Early evaluations suggest that these models often provide inconsistent answers. They do not conform to mathematical or logical principles, although they do exhibit some level of logical reasoning. In general, they are unreliable when constructing or requesting for explanations. In this 12-month project, we’re looking for applicants to develop state-of-the-art technologies for explaining such large language models and extracting logically consistent explanations from them. This is funded by a prestigious grant from CISCO. _______________________________________________ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
