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#157 - Gemini controversy, new Mistral models, Deepmind's Genie & Griffinn, AI Warfare is here
Last Week in AI
Innovative AI Training Approaches
This chapter explores a groundbreaking training method for AI models that utilizes unlabeled video data, focusing on the vector quantized variational autoencoder (VQVAE) for learning action representations. It discusses advancements in models like Mamba and Griffin, analyzing their performance and challenges compared to Llama 2, and highlights the significance of T gate optimization in quantum computing through the AlphaTensor project. The conversation details the integration of attention mechanisms and the implications for future AI architecture development and efficiency.
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