What comes next?
The article discusses about the abilities of large language models (LLMs). It states that text-generating prowess of LLMs allow them to act as general-purpose reasoning engines. Topics discussed include prospect of connecting LLMS to real-world contraptions, LLMs with formal reasoning capabilities a...
| Publicado en: | Economist Vol. 447; no. 9343; pp. 70 - 71 |
|---|---|
| Formato: | Artículo |
| Publicado: |
Economist Newspaper Limited
4/22/2023
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=163344772&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 163344772 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00130613 ECO jtl: Economist issn: 00130613 maglogo: N pubinfo: dt: 4/22/2023 vid: 447 iid: 9343 pid: 161 pub: Economist Newspaper Limited artinfo: ui: 163344772 ppf: 70 ppct: 1 formats: tig: atl: What comes next? aug: su: Artificial intelligence Language models Artificial neural networks Generative programming (Computer science) Natural language processing sug: subj: Artificial intelligence Language models Artificial neural networks Generative programming (Computer science) Natural language processing ab: The article discusses about the abilities of large language models (LLMs). It states that text-generating prowess of LLMs allow them to act as general-purpose reasoning engines. Topics discussed include prospect of connecting LLMS to real-world contraptions, LLMs with formal reasoning capabilities and power generative-Al models. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|