Large Language Models: Prediction, pollution and projection
Large Language Models: Prediction, pollution and projection
Technology stock prices have been volatile in recent months. There is a range of views about how and when major technology companies could recoup dividends from the very large investments they have made in Large Language Models (LLMs). LLMs are generative AI models. They are trained on large volumes of textual data, including from the open internet, to generate credible new text in response to questions and other prompts. Other generative AI models do something similar with pictures, sound and video. LLMs started receiving increased attention and investment after OpenAI released ChatGPT to the public in late 2022. General users were able to play with it, and, importantly, use it immediately for their own purposes. Its capabilities were easy to appreciate. Print journalists (and authors of opinion pieces) acknowledged with horrified fascination the labour-saving and careerthreatening implications for them of a technology that creates a draft of an article in seconds.
LLMs
4
University of Southampton
Hall, Dame Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
Hawes, Ben
e08d8d27-d342-4bd5-bb8b-79dc8d42d70a
17 December 2024
Hall, Dame Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
Hawes, Ben
e08d8d27-d342-4bd5-bb8b-79dc8d42d70a
Hall, Dame Wendy and Hawes, Ben
(2024)
Large Language Models: Prediction, pollution and projection
University of Southampton
4pp.
(doi:10.5258/SOTON/WSI-WP012).
Record type:
Monograph
(Working Paper)
Abstract
Technology stock prices have been volatile in recent months. There is a range of views about how and when major technology companies could recoup dividends from the very large investments they have made in Large Language Models (LLMs). LLMs are generative AI models. They are trained on large volumes of textual data, including from the open internet, to generate credible new text in response to questions and other prompts. Other generative AI models do something similar with pictures, sound and video. LLMs started receiving increased attention and investment after OpenAI released ChatGPT to the public in late 2022. General users were able to play with it, and, importantly, use it immediately for their own purposes. Its capabilities were easy to appreciate. Print journalists (and authors of opinion pieces) acknowledged with horrified fascination the labour-saving and careerthreatening implications for them of a technology that creates a draft of an article in seconds.
Text
2024-05, Large Language Models, FINAL
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Published date: 17 December 2024
Keywords:
LLMs
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Local EPrints ID: 496581
URI: http://eprints.soton.ac.uk/id/eprint/496581
PURE UUID: ced23830-f186-4a97-8b9a-900290449a52
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Date deposited: 19 Dec 2024 17:44
Last modified: 20 Dec 2024 02:32
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Author:
Ben Hawes
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