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Challenges and Applications of Large Language Models (arxiv.org)
2 points by throwaway888abc on Jul 23, 2023 | hide | past | pdf | discuss on HN

In plain words: A review sorts the fast-moving world of large language models into a list of unsolved problems and areas where they already work well. It gives researchers a map so they can spot open questions and proven uses without wading through years of scattered papers.

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.

Jean Kaddour, Joshua Harris, Maximilian Mozes, Herbie Bradley, Roberta Raileanu, Robert McHardy
arXiv:2307.10169 · cs.CL, cs.AI, cs.LG · submitted Jul 19, 2023
abstract · pdf · html · 72 pages. v01. Work in progress. Feedback and comments are highly appreciated!

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Also discussed: Dec 2024 (1 point, 0 comments)