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Challenges and Uses of Large Language Models by Alex Diermeier is a document available to read on EtoBox.
This paper aims to establish a systematic set of open challenges and application areas for large language models (LLMs). It identifies 16 challenges for LLMs, including having unfathomable training datasets, reliance on tokenizers, high pre-training costs, and limitations in context length. The paper also discusses 12 applications of LLMs, such as for chatbots, computational biology, and computer programming. However, it notes that the identified challenges are hindering progress in fully utilizing LLMs acr
- Author
- Alex Diermeier
- Language
- EN