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

Large language models (LLMs) have shown remarkable capabilities in generatinghigh-quality text and making predictions based on large amounts of data,including the media domain. However, in practical applications, the differencesbetween the media's use cases and the general-purpose applications of LLMs havebecome increasingly apparent, especially Chinese. This paper examines theunique characteristics of media-domain-specific LLMs compared to general LLMs,designed a diverse set of task instruction types to cater the specificrequirements of the domain and constructed unique datasets that are tailored tothe media domain. Based on these, we proposed MediaGPT, a domain-specific LLMfor the Chinese media domain, training by domain-specific data and experts SFTdata. By performing human experts evaluation and strong model evaluation on avalidation set, this paper demonstrated that MediaGPT outperforms mainstreammodels on various Chinese media domain tasks and verifies the importance ofdomain data and domain-defined prompt types for building an effectivedomain-specific LLM.

MediaGPT : A Large Language Model For Chinese Media