Challenges and Applications of Large Language Models
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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.
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- Pace
- Field (mathematics)
- Computer science
- Set (abstract data type)
- Data science
- State (computer science)
- Language model
- Management science
UN Sustainable Development Goals
- Quality Education
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