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How chatGPT works behind the scene: Part six (final)
Hold on a sec! 🛑 Before diving into this part, make sure you’ve caught up with the fifth installment by clicking on the link! Trust me, it’ll make the journey even smoother 🚀
Deployment is the process of making the trained chatGPT model accessible to end users. The model is deployed in cloud infrastructure, such as Amazon Web Services (AWS) or Google Cloud, and made accessible to end-users through an API.
When deploying a chatGPT, it’s important to consider the scalability and reliability of the infrastructure. Cloud providers like AWS and Google Cloud offer a range of services that can be used to deploy and run a chatGPT, such as virtual machines, containers, and serverless computing.
Once the chatGPT is deployed, it can be accessed by end-users through an API. An API, or application programming interface, is a set of rules and protocols allowing different software systems to communicate. In the case of a chatGPT, the API allows end-users to send text input to the chatGPT and receive text output from the…
