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2023 has undeniably been the year of GPT. Developers worldwide have been captivated by the limitless possibilities that the next generation of large language models (LLMs) offers. Taking the advancements forward MachineHack, in collaboration with Intel®, is presenting the ‘oneAPI Hackathon: The LLM Challenge’ scheduled from September 14 to October 8, 2023.
All About the Hackathon
While text-based tasks are present everywhere, one of the most compelling objectives is the development of a question-answering system tailored to textual data. Imagine a system capable of sifting through vast datasets, identifying ‘span_start’ and ‘span_end’ positions within the ‘Story’ text, extracting the relevant ‘span_text,’ and generating responses that align perfectly with the provided ‘Answer’ for each question.
This is precisely the challenge that awaits participants in the oneAPI Hackathon: The LLM Challenge. The goal is to use LLMs, leveraging their text understanding and generation capabilities to put up accurate, context-aware answers. Moreover, it needs to be done with a level of accuracy that pushes the boundaries of what language models can do. Beyond just creating a robust LLM, participants will be challenged to build an application that utilises their language model effectively and pen down their insights in a blog post.
Start Date: Sep 14, 2023 6:00 PM(IST)
End Date: Oct 8, 2023 6:00 PM(IST)
The contest kicks off on September 14 at 6:00 PM IST, setting the stage for a month-long journey of problem-solving. But wait, there’s more! The competition is divided into two intriguing phases:
Phase #1: Metric-based Evaluation (Sept 14 to Sept 29)
In this phase, participants will put their models to the test, to get the highest level of accuracy in Q&A tasks.
Phase #2: Application Building + GitHub/Blog Writing (Sept 25 to Oct 8)
This phase is where developers will step outside their comfort zones of dealing with algorithms, document their journey in a GitHub repository and write a detailed blog about their insights.
Amid the neck-to-neck competition, participants won’t be left to fend for themselves. Further, on September 21, a workshop on “Intel® AI Software Optimization Using Intel® AI Analytics Toolkit with Demo on Intel® Developer Cloud” will provide guidance, tips, and tricks from experts to refine strategies for the final stretch of the hackathon. (To save your spot, register here.)
|NOTE: For accessing and training the model, participants must follow these steps: Intel® Developer Cloud Sign up (Mandatory Prerequisite for the workshop): https://www.intel.com/content/www/us/en/developer/tools/devcloud/services.html|
Intel® Developer Cloud Sign-up Guide (Mandatory Prerequisite for the Hands-on Lab): https://github.com/bjodom/idc
Intel® Developer Cloud – Set up Guide (Video):
The excitement doesn’t end with the submission of entries. Winners and their language models will be lauded in October during India’s biggest AI conference — Cypher 2023. Furthermore, the top performers will be rewarded with the following rewards that recognize their achievements.
- 1st prize: Apple iPhone 14 512GB
- 2nd prize: Apple iPad Air 2022 WiFi 256GB
- 3rd prize: Samsung Galaxy Watch
- Top 10 runners-up: Amazon Vouchers worth INR 5K
The final score will be judged based on:
- 40% on #Phase 1
- Score on MachineHack Leaderboard
- 60% on #Phase 2
- Usage of Intel oneAPI optimizations in the final application
- Re-usability and ease of deploying the application on Intel® Developer Cloud
- Structure of Github Repo and ReadMe description
- A short blog highlighting the features of the application
** NOTE: Participants need to sign up to the Intel DevMesh Discord channel: https://discord.com/invite/ycwqTP6
The oneAPI Hackathon: The LLM Challenge is more than a competition; it’s an opportunity to be at the forefront of the LLM revolution. It’s a chance to push the boundaries of what language models can do. The clock is ticking, and the world is watching. The future of language models is in your hands, and the oneAPI Hackathon is the right place to be at.
For more information and registration details, visit MachineHack.
Note: Upon registration, participants can proceed to download the dataset directly from the MachineHack page and the notebook will be on Intel New Developer Cloud.
Calling all aspiring developers! If you’re ready to take on the exhilarating challenge of cracking the LLM code, register now.
Don’t wait a moment longer – seize the opportunity by registering yourself right here, right now. Unleash your coding prowess and embark on a thrilling journey towards conquering the code!