57 research outputs found
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Large language models (LLMs) have been shown to be able to perform new tasks
based on a few demonstrations or natural language instructions. While these
capabilities have led to widespread adoption, most LLMs are developed by
resource-rich organizations and are frequently kept from the public. As a step
towards democratizing this powerful technology, we present BLOOM, a
176B-parameter open-access language model designed and built thanks to a
collaboration of hundreds of researchers. BLOOM is a decoder-only Transformer
language model that was trained on the ROOTS corpus, a dataset comprising
hundreds of sources in 46 natural and 13 programming languages (59 in total).
We find that BLOOM achieves competitive performance on a wide variety of
benchmarks, with stronger results after undergoing multitask prompted
finetuning. To facilitate future research and applications using LLMs, we
publicly release our models and code under the Responsible AI License
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Audiology and Hearing Healthcare
Purpose The purpose of this study was to develop and administer a survey to the University of Arizona College of Science to assess students, faculty, and staff’s awareness of the profession of audiology and hearing healthcare. Method A survey was administered in 2023 to the University of Arizona’s College of Science students, faculty, and staff. Survey questions included questions asking participants to describe what an audiologist does. In addition, participants were asked to describe other healthcare professions, including podiatry, optometry, neuropsychology, speech language pathology, and teacher of the deaf. Participants were also asked questions related to hearing loss and hearing healthcare.
Results Participants within the speech language and hearing sciences department had more awareness of the profession of audiology than those outside of the department. Furthermore, individuals outside of the speech language and hearing sciences department were surer of their knowledge of other healthcare professions, such as podiatry and optometry, than audiology.
Conclusion Data from this survey may serve as a baseline for knowledge related to audiology and hearing healthcare among a university population. This data may be used to create a targeted hearing healthcare program for this niche population. A secondary aim of this study was to explore student’s knowledge of the profession of audiology to inform future avenues for recruitment into the profession
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