speculative-decoding - AI Research Skills
Description
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.
Type
Skill
Ecosystem
Cross-platform
Trust Score
85%
Related Skills
Stable Diffusion WebUI
Feature-rich web interface for Stable Diffusion image generation by AUTOMATIC1111.
LangChain
Comprehensive framework for building LLM-powered applications with chains, agents, and retrieval.
LobeChat
Modern, extensible AI chat framework with plugin ecosystem and multi-model support.
Open WebUI
Self-hosted web UI for LLMs with multi-model support, RAG, and plugin system.