Hello,
I need to fine tune a LLM model for many ages user. Is there a way or tutorial to apply constraints on model training ?
Best regards
Hey there! Fine-tuning an LLM for a broad audience across all ages is a great challenge, but definitely achievable. Here are a couple of ideas based on what I’ve learned:
Data Selection and Balancing: The data you use to fine-tune the model is crucial. You’ll want a diverse dataset that includes text and examples relevant to all age groups. This might involve creating separate training sets for different age ranges or carefully balancing the data you use.
Content Filtering: Consider implementing content filtering to ensure the model avoids generating outputs that might be inappropriate for younger users. This could involve things like filtering out profanity or sensitive topics.