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arXiv:2307.10169cs.CL

Challenges and Applications of Large Language Models

Jean Kaddour, Joshua Harris, Maximilian Mozes, Herbie Bradley, Roberta Raileanu, Robert McHardy

Abstract

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.

arXiv comments
72 pages. v01. Work in progress. Feedback and comments are highly appreciated!
Journal reference
DOI
Subjects
cs.CLComputation and Language cs.AIArtificial Intelligence cs.LGMachine Learning

On Hacker News

Linked by 2 identifiable commenters in 3 comments across 2 threads, from Aug 2023 to Sep 2023. Found in 3 HN submissions from Jul 2023 to Dec 2024. Open submission discussions.

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Discussed in comments2 threads

  1. Outperforming larger language models with less training data and smaller models 1 comment
  2. Open Challenges in LLM Research 2 comments

    • Seems like it is basically a blog post review of Challenges and Applications of Large Language Models which was published to arXiv last month: - https://arxiv.org/abs/2307.10169

      blackkettleView on HNParent context

    • You might like this one; seems to be the basis for the blog post: - https://arxiv.org/abs/2307.10169

      blackkettleView on HNParent context

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