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 information and AI practitioners throughout greater than 10 nations.
From October to December 2023, individuals had been invited to construct LLM-powered purposes utilizing Databricks to resolve real-world enterprise issues. To assist arrange individuals for achievement, previous to the hackathon, we offered self-paced studying workshops on constructing LLMs and devoted coaching led by Databricks’ answer architects.
Entries had been evaluated primarily based on creativity, enterprise applicability, relevance, thoroughness and the scalability of the LLM structure. Whereas there have been a lot of impactful tasks, two groups stood out with their revolutionary concepts addressing essential organisational challenges in telecommunications and cybersecurity.
Congratulations to the profitable groups whose improvements show simply how shortly groups can rework companies with the suitable expertise!
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 guide notes, resulting in unreliable interpretations, usually leading to buyer frustration and dissatisfaction.
Utilizing artificial information units, the staff analysed information in an automatic and safe style, and navigated the complexities of managing huge volumes of textual content and voice information from buyer interactions and gained deep, real-time insights into clients’ wants, considerably enhancing the general person expertise.
Its LLM can effectively classify the intent of the client name, present real-time detection of recent matters, content material summarisation sentiment evaluation and detect aggression, alerting the enterprise to deal with the client’s issues shortly and politely.
Ensign InfoSecurity uncovers LLM vulnerabilities to fortify cybersecurity past standard measures
The runner-up, Pink Teaming Your LLM by Ensign InfoSecurity (“Ensign”), Asia’s largest pure-play end-to-end cybersecurity service supplier, demonstrated their answer to counter the cyber vulnerabilities with rising deployment of LLM-based purposes.
With larger accessibility to LLM APIs, extra firms 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 staff devised a “crimson teaming strategy” to coach LLMs with proprietary jailbreak prompts. Consequently, the LLMs proactively recognized and addressed vulnerabilities in LLM defences, enhancing general cybersecurity.
We’re thrilled to see a lot curiosity and innovation coming from the info and AI group 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 Knowledge + AI World Tour on Thursday, 18 January 2024 (recording obtainable on-demand).
Go to the undertaking gallery to be taught extra about their submissions: https://databricks-llm-cup-2023.devpost.com/project-gallery.