We’re excited to announce the winners of Databricks’ inaugural Asia-Pacific Massive 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, individuals had been invited to construct LLM-powered functions utilizing Databricks to unravel real-world enterprise issues. To assist arrange individuals for fulfillment, previous to the hackathon, we supplied 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 lots of impactful tasks, two groups stood out with their progressive concepts addressing vital organisational challenges in telecommunications and cybersecurity.
Congratulations to the successful groups whose improvements show simply how shortly groups can remodel companies with the suitable 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 guide notes, resulting in unreliable interpretations, typically leading to buyer frustration and dissatisfaction.
Utilizing artificial knowledge units, the staff analysed knowledge in an automatic and safe vogue, 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 client name, present real-time detection of latest 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 typical 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 answer to counter the cyber vulnerabilities with rising deployment of LLM-based functions.
With better accessibility to LLM APIs, extra firms are constructing their very own LLM-based functions. But, the speedy deployment of those fashions has outpaced the event of complete safety protocols, leaving many functions weak to high-risks cyberattacks. The Ensign staff devised a “purple 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 info and AI neighborhood throughout APJ. It is inspiring to see groups use Databricks to develop LLMs that sort out their distinctive challenges – actually attending to the guts of what they should higher serve their clients and revolutionise their enterprise operations.
Each groups offered their successful entries at Databricks’ APJ Knowledge + AI World Tour on Thursday, 18 January 2024 (recording obtainable on-demand).
Go to the undertaking gallery to study extra about their submissions: https://databricks-llm-cup-2023.devpost.com/project-gallery.