CLAIDec 3, 2024

A Primer on Large Language Models and their Limitations

arXiv:2412.04503v17 citationsh-index: 9
Originality Synthesis-oriented
AI Analysis

It offers an introductory overview for those new to LLMs, but is incremental as it synthesizes existing knowledge without presenting new research findings.

This paper provides a primer on Large Language Models (LLMs) by identifying their strengths, limitations, applications, and research directions, aiming to help academia and industry understand and utilize LLM concepts and technologies.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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