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OpenAI research demonstrates that language model behavior can be significantly improved through fine-tuning on small, curated datasets (<100 examples) targeting specific behavioral values, with effectiveness increasing at larger model scales. The approach provides users with tools to align models with Charter-compatible values for their specific applications.