The Right Approach to Personalize LLM Style — Rewards Dropout for Human Styles Alignment and Training Regularization
Author(s): Roman S Originally published on Towards AI. The only “AI” generated thing here. Created by the author with GPT-4o Abstract In this article, I am describing how to effectively solve a task of style transfer and to bypass AI detection through …
Fighting Style Collapse: Reinforcement Learning with Bit-LoRA for LLM Style Personalization
Author(s): Roman S Originally published on Towards AI. Reward dropout and Bit-LoRA regularization effects. Abstract Here I introduce and experiment with a novel reinforcement learning-based framework for LLM style personalization that uniquely addresses the challenge of style collapse. Unlike existing few-shot prompting …
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