Tag: performance optimization

Caching is essential for AI web apps to reduce latency and cut costs. Learn how to start with prompt caching, semantic search, and Redis to make your AI responses faster and cheaper.

Recent-posts

Speculative Decoding Guide: Speed Up LLM Inference with Draft and Verifier Models

Speculative Decoding Guide: Speed Up LLM Inference with Draft and Verifier Models

Apr, 25 2026

Human-in-the-Loop for Generative AI: How to Catch Hallucinations Before They Hit Users

Human-in-the-Loop for Generative AI: How to Catch Hallucinations Before They Hit Users

May, 15 2026

Edge Inference for Small Language Models: When On-Device Makes Sense

Edge Inference for Small Language Models: When On-Device Makes Sense

Apr, 4 2026

Ethical AI Agents for Code: Guardrails that Enforce Policy by Default

Ethical AI Agents for Code: Guardrails that Enforce Policy by Default

Jun, 3 2026

Latency Optimization for Large Language Models: Streaming, Batching, and Caching

Latency Optimization for Large Language Models: Streaming, Batching, and Caching

Aug, 1 2025