What are the considerations for deploying GPT in real-time applications?
When deploying GPT in real-time applications, key considerations include model size, latency, computational resources, and data privacy. It is crucial to optimize the size of the model for efficient processing, manage latency to ensure real-time responsiveness, allocate sufficient computational resources for processing power, and safeguard data privacy through secure deployment practices.
March 18, 2024