File:On the Dangers of Stochastic Parrots Can Language Models Be Too Big.pdf
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On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜
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[edit]DescriptionOn the Dangers of Stochastic Parrots Can Language Models Be Too Big.pdf |
English: The past 3 years of work in NLP have been characterized by the development and deployment of ever larger language models, especially for English. BERT, its variants, GPT-2/3, and others, most recently Switch-C, have pushed the boundaries of the possible both through architectural innovations and through sheer size. Using these pretrained models and the methodology of fine-tuning them for specific tasks, researchers have extended the state of the art on a wide array of tasks as measured by leaderboards on specific benchmarks for English. In this paper, we take a step back and ask: How big is too big? What are the possible risks associated with this technology and what paths are available for mitigating those risks? We provide recommendations including weighing the environmental and financial costs first, investing resources into curating and carefully documenting datasets rather than ingesting everything on the web, carrying out pre-development exercises evaluating how the planned approach fits into research and development goals and supports stakeholder values, and encouraging research directions beyond ever larger language models. |
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https://dl.acm.org/doi/abs/10.1145/3442188.3445922 https://doi.org/10.1145/3442188 |
Author | Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, Shmargaret Shmitchell |
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current | 12:41, 1 March 2023 | ![]() | 1,275 × 1,650, 14 pages (297 KB) | Pamputt (talk | contribs) | Uploaded a work by Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, Shmargaret Shmitchell from https://dl.acm.org/doi/abs/10.1145/3442188.3445922 https://doi.org/10.1145/3442188 with UploadWizard |
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Short title | On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? "1F99C |
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Image title | - Computing methodologies -> Natural language processing. |
Author | Emily M. Bender; Timnit Gebru; Angelina McMillan-Major; Shmargaret Shmitchell |
Identifier | doi:10.1145/3442188.3445922 |
Software used | LaTeX with acmart 2020/11/15 v1.75 Typesetting articles for the Association for Computing Machinery and hyperref 2020-05-15 v7.00e Hypertext links for LaTeX |
Conversion program | LuaHBTeX, Version 1.12.0 (TeX Live 2020); modified using iText® 7.1.11-SNAPSHOT ©2000-2020 iText Group NV (AGPL-version) |
Encrypted | no |
Page size | 612 x 792 pts (letter) |
Version of PDF format | 1.6 |
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