Perplexity Computer Splits Tasks Between Local and Cloud Models

TL;DR. Perplexity Computer will soon allow users to divide tasks between local and remote AI models using its operating system. - This feature aims to optimize processing by assigning appropriate models to different parts of a complex query. - Local models handle privacy-sensitive or simpler tasks, while cloud models manage more complex computations. - The system will dynamically select the best model for each task based on its characteristics and requirements.

• Perplexity Computer to integrate local and cloud model task splitting.
• The new feature enables dynamic allocation of computational tasks.
• Focus is on optimizing performance and resource utilization for AI queries.

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