Challenges and Applications of Large Language Models
Проблемы и приложения крупных языковых моделей
2023-07-19
SCID: 54.1/f5fee8cc
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Abstract (AI)
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.
Key Findings
1
LLMs have rapidly transitioned from non-existent to ubiquitous in machine learning discourse within a few years.
2
The fast pace of LLM research makes it difficult to identify remaining challenges and successful applications.
3
This paper catalogs fruitful application areas of LLMs to enable researchers to become productive sooner.
4
This paper provides a systematic set of open problems in LLMs to help researchers understand the field's current state more quickly.
Research Object
Large Language Models (LLMs)
Research Subject
The remaining challenges and successful application areas of Large Language Models, i.e., open problems and practical uses in the field
Publication Details
Publication Date
2023-07-19
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