Large language models (LLMs) possess the capability to write in a human-like, varied style, but current post-training guardrails significantly limit this potential. According to Bradley Emi, CTO of Pangram, these safety measures restrict the expressive range of LLMs, making their output more uniform and detectable. Base models, before these constraints are applied, demonstrate a much wider spectrum of writing styles. AI
IMPACT Post-training guardrails may be hindering LLMs from achieving more nuanced and human-like writing styles, potentially impacting creative and expressive AI applications.
RANK_REASON Opinion piece from a company CTO about LLM capabilities and limitations.
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