Programmatic Prompting with OpenAI: Refining and Filtering
About this Course
In this project you will implement, within a Flask Python web app, a dynamic generation of movie reviews in different styles generated through OpenAI text models prompting and tweaking OpenAI parameters. You will modulate the generated responses via parameters such as top_p, frequency penalty, presence penalty and best_of. Using JSON objects storing users information, you will adapt the text generation and filter the movie database depending on user characteristics such as age, interests and proficiency based on the AI model recommendations.Created by: Coursera Project Network
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