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9min chapter
Case studies from the GenAI frontier, scaling ML teams, from biologist to machine learning consultant- Erik Gafni - The Data Scientist Show #082
The Data Scientist Show
Exploring Use Cases and Challenges at Eventum AI
The chapter explores various projects at Eventum AI, including stable diffusion, generative AI for Instagram, and real-time accent translation with SONUS. It discusses challenges like technology gaps and voice cloning model limitations, highlighting efforts in MLOps optimization, code modularity, DevOps setup, and data ETL streamlining. The importance of evaluating machine learning models consistently, collaboration among team members, and use of MLOps tools like TensorBoard and MLflow is emphasized.
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