Large Language Models, do they really understand language?
Type
digital resource
Date Issued
2022-12-19
Author(s)
Abstract
This talk examines the potential of large language models to understand language by analyzing their performance on tasks such as natural language processing, question answering, and machine translation. The talk will analyze existing research which has been conducted in the field, including recent breakthroughs such as GPT-3. It will also discuss the implications of these models for the future of language understanding, as well as the ethical considerations that come with the use of large language models. Finally, the talk will explore potential applications of large language models and the potential for further research. Ultimately, the talk will explore the potential of large language models to understand language, and will discuss the implications for future research.
Language
English
HSG Classification
contribution to scientific community
Publisher place
https://ieee-csde.org/csde2022/
Subject(s)
Division(s)
Eprints ID
268336
File(s)![Thumbnail Image]()
Name
csde2022-invited-talk.pdf
Size
5.76 MB
Format
Adobe PDF
Checksum (MD5)
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