The working limitations of large language models:
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 wo...
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[Cambridge, Massachusetts]
MIT Sloan Management Review
2023
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| Ausgabe: | [First edition]. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/53863MIT65233/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | Reprint #65233 |
| Umfang: | 1 Online-Ressource (7 Seiten) |
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| spelling | Burtsev, Mikhail VerfasserIn aut The working limitations of large language models Mikhail Burtsev, Martin Reeves, Adam Job [First edition]. [Cambridge, Massachusetts] MIT Sloan Management Review 2023 1 Online-Ressource (7 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Reprint #65233 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. Natural language generation (Computer science) Artificial intelligence Computer programs Natural language processing (Computer science) Reeves, Martin VerfasserIn aut Job, Adam VerfasserIn aut |
| spellingShingle | Burtsev, Mikhail Reeves, Martin Job, Adam The working limitations of large language models Natural language generation (Computer science) Artificial intelligence Computer programs Natural language processing (Computer science) |
| title | The working limitations of large language models |
| title_auth | The working limitations of large language models |
| title_exact_search | The working limitations of large language models |
| title_full | The working limitations of large language models Mikhail Burtsev, Martin Reeves, Adam Job |
| title_fullStr | The working limitations of large language models Mikhail Burtsev, Martin Reeves, Adam Job |
| title_full_unstemmed | The working limitations of large language models Mikhail Burtsev, Martin Reeves, Adam Job |
| title_short | The working limitations of large language models |
| title_sort | working limitations of large language models |
| topic | Natural language generation (Computer science) Artificial intelligence Computer programs Natural language processing (Computer science) |
| topic_facet | Natural language generation (Computer science) Artificial intelligence Computer programs Natural language processing (Computer science) |
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