Hack your way into the AI realm and supercharge your business with the Databricks Asia Pacific LLM Cup!

Your participation will not only speed up getting your LLM use cases from idea to production, but it also offers a series of free training, workshops, enablement, access to LLMs learning resources and exclusive mentorship from seasoned machine learning engineers.

Don't miss the opportunity to build, iterate and polish your LLM ideas into shiny, production-ready solutions.

Who can participate?

Whether you're an AI novice or a Python pro, we welcome participants from APJ organizations with real-world challenges they are wanting to solve with LLMs.

You do not need to be a current Databricks user. We'll provide you with a sample environment and access to open datasets free of charge, or help you deploy and configure a Databricks workspace in your own cloud environment, or you can also use your existing Databricks deployment.

Keen to join? Here's our checklist to qualify:
• Team members must be part of an organization in a data-related role
• Each team member will be required to register using their corporate email address
• Team entries require a minimum of 2 and a maximum of 4 people
• Databricks staff, partners, consultants or students are not eligible to enter the competition

Register today and form your team!
Got all boxes ticked? Register today and start assembling your team. Each individual will need to register for the hackathon, then the team representative can create a project for the hackathon and invite the team members to that project. Check out this article on forming your team.

Get Started

All participants are encouraged to join in the following enablement sessions designed to help set you and your team up for success. Schedule and links to join can be found under the 'Resources' section.

• Virtual Onboarding Session (25 Oct) Now available on-demand here
Attend the session which will lay the ground rules and parameters of this hackathon. We will also go through workspaces set up in this session. 
• Weekly Enablement / Office Hours between 1 - 22 Nov

We encourage you to create your own novel application or use case using the following resources:

LLM Learning Resources and Self-Paced Learning Workshops:

• Self-paced learning workshops on eDX:
    ▹ Databricks: Large Language Models: Application through Production
    ▹ Databricks: Large Language Models: Foundation Models from the Ground Up

• Large Language Models (LLM) Fundamentals: Developing your first LLM App
• Large Language Models (LLM) Fundamentals: Accelerating LLM Apps to Production
• Hugging Face Open Assistant:
    ▹ https://open-assistant.io/
    ▹ https://huggingface.co/OpenAssistant
• Mosaic ML MPT-7B:
    ▹ https://www.mosaicml.com/blog/mpt-7b
    ▹ https://github.com/mosaicml/llm-foundry
    ▹ mosaicml/mpt-7b · Hugging Face
• Databricks Lab Dolly GitHub repo: https://github.com/databrickslabs/dolly
    ▹ Hugging Face > Databricks
    ▹ Free Dolly: Introducing the World's First Truly Open Instruction-Tuned LLM
    ▹ Hello Dolly: Democratizing the magic of ChatGPT with open models

To get started, you can use the following example notebooks as your guide:
• Build your Chat Bot with Dolly
• AI Functions: query LLM with DBSQL

Additional Guidance
For building LLM applications, we’d recommend tools like LangChain, Pandas AI, and vector databases.

We can’t wait to see your ideas in action! 

For further enquiries, please email apj-llm-cup-2023@databricks.com or your Databricks account representative.

• Creativity
  Is this a new and original idea, or has this been done before?
• Business Applicability
  How well does this solve a real business problem?
• Relevance
  How have you combined relevant and interesting datasets and tools?
• Thoroughness
  Is your application easy for the end user to understand? Does it provide relevant and insightful information?
• Well Architected
  Can your application scale well at a linear cost? Can it accommodate additional features without rewriting most of the codebase?