Empowering Women in AI: RAG Hackathon at Stanford
We are so excited for the upcoming inaugural Women in AI RAG Hackathon, a collaborative event that aims to celebrate and empower women in the field of artificial intelligence. Organized in partnership with Zilliz, GenAI Collective, and Women Who Do Data (W2D2), this event takes place on Saturday, January 25, 2025, at Stanford University, Palo Alto, CA.
Event Details:
Date & Time: January 25, 2025, from 8 AM to 9 PM
Location: Stanford University, California (full location available to registrants)
Registration: Apply for a spot here
Resources & Prompt: Check out the GitHub repository for detailed instructions and resources.
Why We Are Hosting This Event:
The Women in AI RAG Hackathon is more than just a competition; it's a movement to foster diversity in the rapidly evolving field of AI. We believe in providing a supportive environment that serves as an on-ramp for developers who are new to integrating AI technologies. This event aims to promote diversity and inclusion within AI, offering women the opportunity to lead, innovate, and showcase their skills in a field where they are underrepresented.
About the Hackathon:
The Women in AI RAG Hackathon invites women technologists to explore and build retrieval-augmented generation (RAG) systems using the open-source vector database technology, Milvus vector database. This all-day in-person event encourages participants to connect, learn, and innovate in a supportive environment.
Hackathon Challenge:
Participants will develop a RAG system tailored for one of the following applications:
A recommender system
A question/answering system for a specialized domain
A product review summarizer
A personalized job recruiter
Or whatever inspires creativity!
The solution must utilize the Milvus database as the underlying vector database, with constraints on using small foundation models (<15B parameters). Teams will be granted $500 in inference credits courtesy of OmniStack, supporting the use of 100+ pre-deployed models, including LLAMA, or to deploy your fine-tuned models.
Why You Should Attend:
Networking: Meet and collaborate with peers, mentors, and leaders in AI.
Learning Opportunities: Gain hands-on experience with advanced AI technologies.
Mentorship: Receive guidance from experienced professionals in AI.
Prizes: Compete for exciting prizes awarded to the top projects.
Prizes and Rewards:
We are excited to offer prizes to reward the creativity and hard work of our participants. Prizes will be awarded to the top three teams and include:
First Place: The winning team will receive a total of $1,000 cash and $10,000 in AWS credits. Additionally, the winning team will be featured on the Zilliz blog and across our social media platforms to highlight your innovative solution.
Second Place: The runner-up team will be awarded $700 in gift cards, split among team members, and will also enjoy the spotlight with a feature on the Zilliz blog and promotion on our social media channels.
Third Place: The team in third place will receive $500 in gift cards, split among team members, along with promotion on our social media platforms to share your achievements.
Best use of Mistral: Mistral AI is offering $500 in Mistral credits to the project that demonstrates the best use of one of Mistral’s models.
Partners & Sponsors:
A big thank you to our hackathon sponsors including AWS, TwelveLabs, Arize, OmniStack, StreamNative, and Mistral AI, whose generous financial contributions have funded the prizes and helped make this event possible.
Registration:
Due to overwhelming interest, the registration for this event is full. If you missed out this time, please continue to apply for future events. We value your interest and look forward to welcoming you to our Unstructured Data community soon. Follow the event by watching the #milvushackathon tag on Saturday, January 25, 2025.
Join us for a day of innovation, collaboration, and celebration at the Women in AI RAG Hackathon. Let's push the boundaries of what's possible in AI together!
Emily KurzeEmily Kurze is the Director of Marketing at Zilliz.
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