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.
Original language | English |
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Journal | Proceedings of the 41st International Conference on Machine Learning |
Volume | 235 |
Pages (from-to) | 42647-42665 |
Publication status | Published - 2024 |
Keywords
- NLP
- language models