Questioning the Value Head Design in LLMs
agarwl_ · x · 2026-07-15
The author expresses confusion over a specific LLM training architecture: a model trained primarily on next-token prediction is later appended with a scalar value function head to determine if a response is genuinely "good."
This fundamentally questions why a system trained to predict the next word requires an external scalar value head for quality assessment. Though brief, the critique highlights the underlying tension between training objectives and evaluation mechanisms.
Related event: Community Debates LLM Value Head and Function Design(3 posts)→
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