Abstract
Much of the recent discourse within the ML community has been centered around Large Language Models (LLMs), their functionality and potential – yet not only do we not have a working definition of LLMs, but much of this discourse relies on claims and assumptions that are worth re-examining. We contribute a definition of LLMs, critically examine five common claims regarding their properties (including ’emergent properties’), and conclude with suggestions for future research directions and their framing.
Originalsprog | Engelsk |
---|---|
Tidsskrift | Proceedings of the 41st International Conference on Machine Learning |
Vol/bind | 235 |
Sider (fra-til) | 42647-42665 |
Status | Udgivet - 2024 |
Emneord
- NLP
- language models