English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

It has recently become feasible to run personal digital assistants on phonesand other personal devices. In this paper we describe a design for a naturallanguage understanding system that runs on device. In comparison to aserver-based assistant, this system is more private, more reliable, faster,more expressive, and more accurate. We describe what led to key choices aboutarchitecture and technologies. For example, some approaches in the dialogsystems literature are difficult to maintain over time in a deployment setting.We hope that sharing learnings from our practical experiences may help informfuture work in the research community.

Intelligent Assistant Language Understanding On Device