We’re excited to announce the winners of Databricks’ inaugural Asia-Pacific Giant Language Mannequin (LLM) Cup, a first-of-its-kind competitors within the area, which garnered participation from over 1,000 knowledge and AI practitioners throughout greater than 10 nations.
From October to December 2023, contributors have been invited to construct LLM-powered purposes utilizing Databricks to unravel real-world enterprise issues. To assist arrange contributors for achievement, previous to the hackathon, we offered self-paced studying workshops on constructing LLMs and devoted coaching led by Databricks’ resolution architects.
Entries have been evaluated based mostly on creativity, enterprise applicability, relevance, thoroughness and the scalability of the LLM structure. Whereas there have been a lot of impactful initiatives, two groups stood out with their progressive concepts addressing vital organisational challenges in telecommunications and cybersecurity.
Congratulations to the profitable groups whose improvements show simply how shortly groups can rework companies with the fitting know-how!
Optus unlocks worth from name centre buyer conversations with LLM, providing 360-degree view of its clients
Securing the grand prize, Contact Catalyst from Optus, an Australian telecommunications firm, addressed a prevailing enterprise problem: understanding clients’ wants throughout calls. Name centre brokers sometimes take handbook notes, resulting in unreliable interpretations, usually leading to buyer frustration and dissatisfaction.
Utilizing artificial knowledge units, the workforce analysed knowledge in an automatic and safe trend, and navigated the complexities of managing huge volumes of textual content and voice knowledge from buyer interactions and gained deep, real-time insights into clients’ wants, considerably enhancing the general consumer expertise.
Its LLM can effectively classify the intent of the shopper name, present real-time detection of recent subjects, content material summarisation sentiment evaluation and detect aggression, alerting the enterprise to handle the shopper’s considerations shortly and politely.
Ensign InfoSecurity uncovers LLM vulnerabilities to fortify cybersecurity past standard measures
The runner-up, Purple Teaming Your LLM by Ensign InfoSecurity (“Ensign”), Asia’s largest pure-play end-to-end cybersecurity service supplier, demonstrated their resolution to counter the cyber vulnerabilities with rising deployment of LLM-based purposes.
With higher accessibility to LLM APIs, extra corporations are constructing their very own LLM-based purposes. But, the fast deployment of those fashions has outpaced the event of complete safety protocols, leaving many purposes susceptible to high-risks cyberattacks. The Ensign workforce devised a “pink teaming strategy” to coach LLMs with proprietary jailbreak prompts. Consequently, the LLMs proactively recognized and addressed vulnerabilities in LLM defences, enhancing total cybersecurity.
We’re thrilled to see a lot curiosity and innovation coming from the information and AI neighborhood throughout APJ. It is inspiring to see groups use Databricks to develop LLMs that deal with their distinctive challenges – actually attending to the guts of what they should higher serve their clients and revolutionise their enterprise operations.
Each groups introduced their profitable entries at Databricks’ APJ Information + AI World Tour on Thursday, 18 January 2024 (recording out there on-demand).
Go to the venture gallery to be taught extra about their submissions: https://databricks-llm-cup-2023.devpost.com/project-gallery.
