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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.04503 |
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| _version_ | 1866915050188439552 |
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| author | Johnson, Sandra Hyland-Wood, David |
| author_facet | Johnson, Sandra Hyland-Wood, David |
| contents | This paper provides a primer on Large Language Models (LLMs) and identifies their strengths, limitations, applications and research directions. It is intended to be useful to those in academia and industry who are interested in gaining an understanding of the key LLM concepts and technologies, and in utilising this knowledge in both day to day tasks and in more complex scenarios where this technology can enhance current practices and processes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_04503 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Primer on Large Language Models and their Limitations Johnson, Sandra Hyland-Wood, David Computation and Language Artificial Intelligence 68T50 This paper provides a primer on Large Language Models (LLMs) and identifies their strengths, limitations, applications and research directions. It is intended to be useful to those in academia and industry who are interested in gaining an understanding of the key LLM concepts and technologies, and in utilising this knowledge in both day to day tasks and in more complex scenarios where this technology can enhance current practices and processes. |
| title | A Primer on Large Language Models and their Limitations |
| topic | Computation and Language Artificial Intelligence 68T50 |
| url | https://arxiv.org/abs/2412.04503 |