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speculative-decoding

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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.

When to use

• **Speed up inference** by 1.5-3.6× without quality loss
• **Reduce latency** for real-time applications (chatbots, code generation)
• **Optimize throughput** for high-volume serving
• **Deploy efficiently** on limited hardware
• **Generate faster** without changing model architecture

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