AI Engineering
Prompt Caching Strategies That Cut Your LLM Costs in Half
Practical caching strategies for LLM applications — from exact match to semantic similarity caching to provider-level prefix caching — with real cost/latency numbers.
Akhil Sharma
March 14, 2026
9 min read
CachingLLMCost OptimizationInfrastructure
More in AI Engineering
Building Reliable LLM Evaluation Pipelines
How to evaluate LLM outputs systematically with automated metrics, LLM-as-judge, human review, and CI/CD integration for prompt regression testing.
Fine-Tuning Embedding Models for Domain-Specific Retrieval
When and how to fine-tune embedding models with hard negatives, contrastive loss, and practical evaluation — with before/after retrieval benchmarks.