NEXT Hackathon #2: The Edge Runners - Kick-Off & Introduction

Use Meta's Llama 3.1 models to generate synthetic datasets and train smaller models optimized for edge devices like smartphones, laptops, IoT devices, and tablets.



Key Objectives:



Generate Synthetic Data: Utilize Llama 3.1 to create high-quality, diverse datasets.



Optimize Models: Train and optimize smaller models (e.g., TinyLlama, Phi-3) for edge device performance.



Deploy on Edge Devices: Develop cloud prototypes designed for seamless deployment on edge devices, ensuring efficient local data processing.



Showcase your innovative solutions and the potential of running sophisticated AI models on edge hardware!

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