Programmatic Prompting with OpenAI: Refining and Filtering

Übersicht

In this project, you will implement a Flask Python web app that dynamically generates movie reviews in different styles using OpenAI text models. By prompting and tweaking OpenAI parameters, you'll refine the generated responses using top_p, frequency penalty, presence penalty, and best_of parameters.

Leverage JSON objects to store user information, adapting text generation and filtering the movie database based on user characteristics such as age, interests, and proficiency as per AI model recommendations.

University:

Coursera

Provider:

Coursera

Categories:

Python Courses, Generative AI Courses, Flask Courses

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Unterrichtet von

Angelo Paolillo

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Fachgebiete