<ul><li>Online platforms face significant challenges posed by toxic comments which can seriously undermine user experience.</li><li>Recognizing the critical nature of this issue, AI-driven content moderation is crucial.</li><li>The FLAN-T5 model is a crucial component in boosting AI-driven content moderation, thanks to its ability for few-shot learning.</li><li>FLAN-T5’s design makes it highly versatile, and capable of handling different languages and dialects.</li><li>1. Select and organize the data for training language models.</li><li>2. Load previously fine-tuned PEFT model for efficient deployment in real-world scenarios.</li><li>3. Integrate additional configurations, adapter, for model fine-tuning on specific tasks.</li><li>4. Establish a baseline for Proximal Policy Optimization (PPO) training by creating a frozen copy of the PPO model.</li><li>5. Fine-tune AI-driven content with the reinforcement learning framework, using toxicity classifier.</li><li>The AI model developed detoxifies online content, fostering healthier and more engaging digital communities.</li></ul>

Enhancing Business Engagement: Advanced AI and LLM for Detoxifying and Moderating Hate Speech in…

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