Summary
A researcher has developed two novel functions designed to shape the training signal for Large Language Models (LLMs). Early, limited tests suggest that models trained with these functions produce responses preferred by users approximately 59.9% of the time, despite the loss curve indicating a tie. The researcher is seeking replication from others with more resources to validate these promising initial findings.
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