II.
SkillArea overview
Reference · liveskill-area:inference-optimization
Inference Optimization overview
Techniques for reducing LLM and ML inference latency and cost — quantization, speculative decoding, KV-cache optimization, batching strategies, and hardware-aware serving tuning.
Attributes
displayName
Inference Optimization
description
Techniques for reducing LLM and ML inference latency and cost —
quantization, speculative decoding, KV-cache optimization,
batching strategies, and hardware-aware serving tuning.
expertiseLevels
- intermediate
- expert
Outgoing edges
applies_to2
- domain:ml-ai·DomainML/AI
- specialization:ml-inference-serving·SpecializationML Inference Serving
prerequisite_for_learning1
- skill-area:model-compression·SkillAreaModel Compression
Incoming edges
prerequisite_for_learning1
- skill-area:model-compression·SkillAreaModel Compression
requires_expertise1
- responsibility:inference-latency-sla·ResponsibilityInference latency SLA