How do you incorporate reinforcement learning techniques into your generative AI workflows and what code approaches have you found useful

Question

Can i get suggestions on how i can incorporate reinforcement learning techniques into generative AI workflow using code in python?, and what code approaches would be best according to you?

Answer 1

You can incorporate reinforcement learning into generative AI workflow using one of the technique called PPO(proximal policy optimization) used for fine-tuning a text generation model with custom rewards. 

Here is the code for your reference:

We design a simple reward function (refer in the code) to stimulate longer generated text. We wrap up the model using PPO to adjust model generation based on rewards.

This is how we incorporate reinforcement learning in Generative AI workflow.