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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

We introduce CoEdIT, a state-of-the-art text editing system for writingassistance. CoEdIT takes instructions from the user specifying the attributesof the desired text, such as "Make the sentence simpler" or "Write it in a moreneutral style," and outputs the edited text. We present a large language modelfine-tuned on a diverse collection of task-specific instructions for textediting (a total of 82K instructions). Our model (1) achieves state-of-the-artperformance on various text editing benchmarks, (2) is competitive withpublicly available largest-sized LLMs trained on instructions while beingnearly 60x smaller, (3) is capable of generalizing to unseen edit instructions,and (4) exhibits abilities to generalize to composite instructions containingdifferent combinations of edit actions. Through extensive qualitative andquantitative analysis, we show that writers prefer the edits suggested byCoEdIT relative to other state-of-the-art text editing models. Our code, data,and models are publicly available at https://github.com/vipulraheja/coedit.

CoEdIT: Text Editing by Task-Specific Instruction Tuning