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

Existing approaches to understanding, developing and researching modernwireless communication technologies involves time-intensive and arduous processof sifting through numerous webpages and technical specification documents,gathering the required information and synthesizing it. This paper presentsNextGen Communications Copilot, a conversational artificial intelligence toolfor information synthesis of wireless communication specifications. The systembuilds on top of recent advancements in foundation models and consists of threekey additional components: a domain-specific database, a context extractor, anda feedback mechanism. The system appends user queries with concise andquery-dependent contextual information extracted from a database of wirelesstechnical specifications and incorporates tools for expert feedback and datacontributions. On evaluation using a benchmark dataset of queries and referenceresponses created by subject matter experts, the system demonstrated morerelevant and accurate answers with an average BLEU score and BERTScoreF1-measure of 0.37 and 0.79 respectively compared to the corresponding valuesof 0.07 and 0.59 achieved by state-of-the-art tools like ChatGPT.

Adapting Foundation Models for Information Synthesis of Wireless Communication Specifications