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  - When handling high-uncertainty inputs, may result in insufficient generation accuracy due to lack of dynamic delay mechanism.
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  ---
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- **TEST**
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  1.Which is bigger, 1.11 or 1.51?
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  ***After using this sampler:***
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  - AI Output:"There are 3 R's in the word "strawberry"."
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  ---
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  ## Conclusion
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  The **Inference Time Extension** sampler successfully balances **generation speed** and **generation quality** through its **dynamic delay strategy**, addressing the limitations of traditional fixed delay methods. In comparison with **R1** and **O3-MINI** models, while the latter have clear advantages in response speed, Inference Time Extension provides more stable and precise results in fine-grained generation and error control.
 
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  - When handling high-uncertainty inputs, may result in insufficient generation accuracy due to lack of dynamic delay mechanism.
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  ---
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+ ---
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+ # **TEST**
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  1.Which is bigger, 1.11 or 1.51?
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  ***After using this sampler:***
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  - AI Output:"There are 3 R's in the word "strawberry"."
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+ ---
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  ---
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  ## Conclusion
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  The **Inference Time Extension** sampler successfully balances **generation speed** and **generation quality** through its **dynamic delay strategy**, addressing the limitations of traditional fixed delay methods. In comparison with **R1** and **O3-MINI** models, while the latter have clear advantages in response speed, Inference Time Extension provides more stable and precise results in fine-grained generation and error control.