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Merging of different types of AI models, such as natural language processing (NLP) and computer vision or voice recognition, to create comprehensive solutions that interpret and create complex, multi-modal data relays.

  • Operational needs evaluation and risks assessment
  • Mixture of experts assessment and selection for custom tasks
  • Integration of diverse AI capabilities and access modularization
  • Generation/Supervision balance strategy for multimodal efficiency and reliability
  • Ongoing learning strategy

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