AI-LLM

RAG vs Fine-Tuning: Picking the Right Approach for a Client Project

October 7, 2026

RAG and fine-tuning solve different problems — RAG for giving a model current/private knowledge, fine-tuning for changing how it behaves. A practical decision guide.

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Prompt Caching Explained: How LLM APIs Cut Latency and Cost

September 29, 2026

How prompt caching works in LLM APIs, including prefix matching, cache breakpoints, token pricing, cache lifetimes, and practical ways to reduce repeat-request costs.

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