Challenges and Applications of Large Language Models
Large Language Models (LLMs) went from non-existent to ubiquitous in the
machine learning discourse within a few years. Due to the fast pace of the
field, it is difficult to identify the remaining challenges and already
fruitful application areas. In this paper, we aim to establish a systematic set
of open problems and application successes so that ML researchers can
comprehend the field's current state more quickly and become productive.
64b89efcbe76d2ff07fe169a
Jean Kaddour
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2023-07-20T07:25:38.828Z
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Jean Kaddour
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JeanKaddour
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Joshua Harris
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2025-05-12T09:04:03.026Z
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Harris
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Joshua-Harris
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Maximilian Mozes
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Herbie Bradley
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2023-07-20T07:28:29.944Z
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Herbie Bradley
user
HyperionHF
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Roberta Raileanu
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2023-07-20T07:28:54.947Z
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Roberta Raileanu
user
rraileanu
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Robert McHardy
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2023-07-21T07:36:21.081Z
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Robert McHardy 
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robmchinst
Challenges and Applications of Large Language Models
Large Language Models (LLMs) went from non-existent to ubiquitous in the
machine learning discourse within a few years. Due to the fast pace of the
field, it is difficult to identify the remaining challenges and already
fruitful application areas. In this paper, we aim to establish a systematic set
of open problems and application successes so that ML researchers can
comprehend the field's current state more quickly and become productive.
Large Language Models (LLMs) discourse tuning policies Synthetic patterns