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Speculative Decoding Draft Verification Engine
Problem Overview
Speculative Decoding achieves 2x-3x speedups by using a fast draft model to propose tokens, verified in parallel by the target model via Modified Rejection Sampling.
In this capstone, you will implement the deterministic Speculative Verification Engine that:
- Validates candidate draft tokens against target distribution ratios .
- Accepts valid tokens and resamples rejected positions from normalized residual distributions .
- Emits bonus tokens when all candidates are accepted.
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