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!