Users are encountering difficulties in controlling the reasoning process of large language models, even when providing explicit instructions in system prompts. Despite attempts to limit token usage or prevent excessive drafting, models often continue to generate repetitive or wasteful reasoning steps. This issue persists across various models, including Gemma 4 26b, leading to inefficient token consumption and a lack of productive output in their thought processes. AI
IMPACT Users are seeking methods to improve the efficiency and controllability of LLM reasoning processes.
RANK_REASON User discussion on a technical challenge with LLMs.
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