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Exploring Stable Diffusion Models for Social Media App Development
This chapter delves into the speaker's involvement with Play Labs in creating a generative AI social media app called Play Day, focusing on building a stable diffusion-based backend, fine-tuning models, and teaching stable diffusion about users. It touches on metrics used for model evaluation, sampling inference for performance evaluation, and the dynamics of hiring consultants in machine learning projects. Additionally, it discusses a project with Deep Cell involving microfluidics device sorting biological cells and addresses class imbalance techniques, emphasizing domain knowledge in biological data analysis.