Speculative Decoding
orchestra-research/ai-research-skills/19-emerging-techniques/speculative-decodingby orchestra-research773a52944ba4MIT13K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 3 months ago
Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference speed (1.5-3.6× speedup), reducing latency for real-time applications, or deploying models with limited compute. Covers draft models, tree-based attention, Jacobi iteration, parallel token generation, and production deployment strategies.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/lookahead.md | 8.7 KB | text/markdown |
| references/medusa.md | 9.6 KB | text/markdown |
| SKILL.md | 13.7 KB | text/markdown |
Source and attribution
Source:orchestra-research/ai-research-skillsin19-emerging-techniques/speculative-decodingat commit773a529
License: MIT
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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