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Groq API Performance Optimization Guide
groq-performance-tuning
jeremylongshore/claude-code-plugins-plus-skills
172
A comprehensive guide to maximizing Groq API performance. This skill details advanced techniques including optimal model selection (balancing latency and quality), implementing semantic caching, efficient token management, streaming responses for perceived speed, and orchestrating parallel requests to ensure high throughput and low latency in production applications.
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LLM Multi-Layer Caching
llm-caching
sickn33/agentic-awesome-skills
378
Cut LLM costs and latency with three caching layers: exact-match Redis cache, semantic similarity cache (GPTCache/Qdrant), and provider-side prompt caching. Ideal for FAQ bots, support tools and high-volume APIs.
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简体中文
English