Practical AI: Machine Learning, Data Science, LLM

Advent of GenAI Hackathon recap

Jan 17, 2024

47:52

Snipd AI

The podcast discusses the recent Advent of GenAI hackathon, with 2,000 participants worldwide. Topics include creative solutions, the hackathon's idea, origins and vision, model deployment options, model releases, standout solutions, and gratitude towards participants and the community.

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Quick takeaways

The Advent of GenAI hackathon showcased the democratization and commoditization of AI, empowering developers to build practical solutions with language models.

Participants in the hackathon leveraged the Intel Developer Cloud's user-friendly environment, extensive resources, and powerful hardware, highlighting the platform's ease of use for model deployment and scaling.

Deep dives

Highlights of the Hackathon

The hackathon saw incredible submissions and a diverse mix of participants, including students, engineers, and startups. The quality and creativity of the solutions impressed the organizers. Submissions ranged from narrative-based image generation to Python code explainers and even AI agents. Some notable solutions included comic book generators, advanced rag examples, and Python code optimization. The hackathon demonstrated the democratization of AI and its commoditization, empowering a wider range of developers to build practical solutions with LLMs.

Introduction

2min

Origins and Vision of Gen AI Hackathon

21min

Model Deployment Options and Optimization

6min

Model releases and an ad for Vanna.ai

3min

Highlights and Standout Solutions

14min

Gratitude, Encouragement, and Community Involvement

2min

Recently, Intel’s Liftoff program for startups and Prediction Guard hosted the first ever “Advent of GenAI” hackathon. 2,000 people from all around the world participated in Generate AI related challenges over 7 days. In this episode, we discuss the hackathon, some of the creative solutions, the idea behind it, and more.

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Featuring:

Rahul Nair – Twitter, GitHub, LinkedIn
Ryan Metz – Twitter, LinkedIn
Eugenie Wirz – LinkedIn
Ralph de Wargny – LinkedIn
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

Something missing or broken? PRs welcome!

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