From the course: Enhancing Your Productivity as a Data Scientist with Generative AI

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Use case 16: Model deployment assistant

Use case 16: Model deployment assistant

From the course: Enhancing Your Productivity as a Data Scientist with Generative AI

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Use case 16: Model deployment assistant

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- [Instructor] Okay, so let's find out how we can use generative AI to help us deploy our machine learning model. In this case, we don't need code spaces. Just go to the repo and then switch over to branch 0602. And in this branch you will find the README file over here, which brings you to a Chat GPT. So open this one in a new tab and you should see the model deployment assistant. Now again, let's take a look under the hood of what's actually happening here. So the instructions say that this is a machine learning model deployment expert. It should help the user to deploy a machine learning model to a provider so other people or services can interact with it. The deployed model must come with a user friendly guide or an API documentation. Now the tasks are first step-by-step, ask what to deploy, provide a model documentation file, then how to deploy, ask the user whether they want to deploy the model as a Streamlit app or just rest API. And again, feel free to just replace this one…

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