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20 de ene. de 2022 · LaMDA is a family of Transformer-based language models specialized for dialog, pre-trained on public dialog data and web text. The paper presents the design, evaluation and applications of LaMDA in the domains of safety, factual grounding and content recommendations.
18 de may. de 2021 · But LaMDA — short for “Language Model for Dialogue Applications” — can engage in a free-flowing way about a seemingly endless number of topics, an ability we think could unlock more natural ways of interacting with technology and entirely new categories of helpful applications. The long road to LaMDA.
LaMDA is a family of Transformer-based neural language models specialized for dialog, which have up to 137B parameters and arepre-trained on 1.56T words of public dialog data and web text. While model scaling alone canimprove quality, it shows less improvements on safety and factual grounding.
20 de ene. de 2022 · LaMDA is a family of Transformer-based neural language models specialized for dialog, which have up to 137B parameters and are pre-trained on 1.56T words of public dialog data and web text. While...
20 de ene. de 2022 · LaMDA: Language Models for Dialog Applications. R. Thoppilan, Daniel De Freitas, +54 authors. Quoc Le. Published in arXiv.org 20 January 2022. Computer Science. TLDR.
