Fine-tuning Models to Remove Slop: Practical Insights
ivan_bezdomny · x · 2026-08-25
Ivan Bezdomny shares practical insights on improving AI writing quality by removing "slop." The discussion highlights that fine-tuning models for specific tasks, such as writing high-quality news, is viable, and merging models trained for different tasks is not difficult. The author argues that general-purpose models perform poorly at removing slop, often limited to banning specific vocabulary, whereas targeted training yields better results.
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