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Author Burtsev, Mikhail, author.

Title The working limitations of large language models / Mikhail Burtsev, Martin Reeves, Adam Job. [O'Reilly electronic resource]

Edition [First edition].
Publication Info. [Cambridge, Massachusetts] : MIT Sloan Management Review, 2023.
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Description 1 online resource (7 pages)
Note Reprint #65233.
Summary Large language models (LLMs) can generate convincingly human-sounding responses to queries. This ability can lead users to mistakenly attribute certain human capabilities to these artificial intelligence algorithms, namely reasoning, knowledge, understanding, and execution. Understanding how LLMs work and what their limitations are can help users identify where generative AI technology is best applied and where its outputs might be unreliable.
Subject Natural language generation (Computer science)
Artificial intelligence -- Computer programs.
Natural language processing (Computer science)
Added Author Reeves, Martin, author.
Job, Adam, author.
Standard No. 53863MIT65233
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