Author: Nithin Mohan TK

Introduction: LLM API calls are expensive and slow. A single GPT-4 request can cost cents and take seconds—multiply that by thousands of users and costs spiral quickly. Caching is the most effective way to reduce both cost and latency. But LLM caching is different from traditional caching: exact string matches are rare, and semantically similar […]

Introduction: Context windows are limited and tokens are expensive. Long prompts with extensive context, examples, or retrieved documents quickly hit limits and drive up costs. Prompt compression techniques reduce token count while preserving the information LLMs need to generate quality responses. This guide covers practical compression strategies: token pruning to remove low-information tokens, extractive summarization […]