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Poets is an imperfect metaphor, intended as a gesture toward inclusion. The future for deep nets will benefit by reaching out to a broad audience of potential users, including people with little or no programming skills, and little interest in training models. That paper focused on inference, the use of pre-trained models, as is, without fine-tuning. The goal of this paper is to make fine-tuning more accessible to a broader audience. Since fine-tuning is more challenging than inference, the examples in this paper will require modest programming skills, as well as access to a GPU. Fine-tuning starts with a general purpose base (foundation) model and uses a small training set of labeled data to produce a model for a specific downstream application. There are many examples of fine-tuning in natural language processing (question answering (SQuAD) and GLUE benchmark), as well as vision and speech.<\/jats:p>","DOI":"10.1017\/s1351324921000322","type":"journal-article","created":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T13:28:24Z","timestamp":1635254904000},"page":"763-778","update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":93,"title":["Emerging trends: A gentle introduction to fine-tuning"],"prefix":"10.1017","volume":"27","author":[{"given":"Kenneth Ward","family":"Church","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zeyu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanjun","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2021,10,26]]},"reference":[{"key":"S1351324921000322_ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053512"},{"key":"S1351324921000322_ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178964"},{"key":"S1351324921000322_ref46","doi-asserted-by":"crossref","unstructured":"Li, C. , Shi, J. , Zhang, W. , Subramanian, A.S. , Chang, X. , Kamo, N. , Hira, M. , Hayashi, T. , Boeddeker, C. , Chen, Z. and Watanabe, S. 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