Context, Cost, and Latency
Explore how context size, token usage, and latency interplay to affect performance and cost in LLM-based chat and retrieval systems. Understand common truncation methods, token-driven cost and delay factors, and strategies for balancing long histories with responsiveness. This lesson guides you to design efficient prompt management and ensure budgets for input tokens, calls, and latency are met for reliable production systems.
A chat feature needs to return a helpful first answer in under