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Advent of GenAI Hackathon recap (Practical AI #252)

Jan 17, 2024
47:52
Snipd AI
Intel's Liftoff program and Prediction Guard hosted the Advent of GenAI hackathon, attracting 2,000 participants worldwide. The podcast discusses the hackathon's challenges and creative solutions, the genesis of the event, and model deployment and optimization. It also covers Intel's NeuralChat and highlights standout solutions, emphasizing explainable AI and creative application. The episode ends with encouragement to join Lift-off and gratitude to partners and listeners.
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Quick takeaways

  • The Advent of GenAI hackathon showcased the democratization of AI development and the potential of generative AI, with impressive submissions and utilization of Intel Developer Cloud resources.
  • Outstanding solutions included image generation, custom model combinations, and rag-based systems, demonstrating the diverse AI skills targeted by the hackathon challenges.

Deep dives

Highlights of the hackathon

The hackathon saw an incredible response from a diverse group of participants, including students, individual developers, and founders. The quality of submissions and the creativity displayed was impressive. Unique solutions included a comic book generator, a Python code explainer with source citation, and an AI agent that combined different models. Participants utilized Intel Developer Cloud (IDC) for their AI workloads, accessing features like shared Jupiter Hub instances and resources like Intel Xeon processors, data center max GPUs, and Gaudi accelerators. The ease of use and performance of IDC were praised, and the support provided by the Intel team was highly appreciated.

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