Gemini, a new family of multimodal AI models is developed by Google. This podcast discusses the model's architecture, training process, and evaluation results across various tasks in domains like text, code, image, audio, and video. We highlight Gemini's ability to handle multiple modalities, surpassing existing models in tasks requiring multi-step reasoning, and showcases its performance in multilingual contexts. We also explore responsible deployment practices for Gemini, including impact assessment, safety policies, and mitigation strategies to ensure responsible use.

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