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LLM Performance Metrics
11.1🔒Why LLM Performance Is DifferentLLM-backed features introduce performance characteristics that traditional load testing does not account for. Unlike a REST API that…
11.2🔒Key Metrics for LLM Performance
11.3🔒Understanding TTFT vs Total Generation TimeTTFT is what determines perceived responsiveness. A user staring at a blank screen for 3 seconds feels slow, even if the total response…
11.4🔒Measuring LLM Metrics
11.5🔒Context Window EconomicsThe size of the prompt directly affects latency and cost:
11.6🔒Setting SLOs for LLM FeaturesNote the availability target of 99.5% -- lower than typical API SLOs because LLM providers have higher baseline error rates.
11.7🔒Benchmarking Across ProvidersRun benchmarks weekly to track provider performance trends.
11.8🔒Key Takeaways -- Chapter 111. LLM performance requires different metrics than traditional APIs: TTFT, TPS, and token budget compliance. 2. TTFT determines perceived…
11.9🔒Exercises -- Chapter 11Exercise 11.1 (Beginner): Using the TTFT rule of thumb, classify these TTFT values as "instant," "acceptable," or "needs improvement"…
11.10🔒Career Translation- Defined and implemented LLM-specific SLOs for TTFT (p95 < 2s), token throughput (avg > 40 tok/s), and availability (99.5%), establishing…
11.11🔒Q&AInterview Depth CheckPrompt: Your AI chatbot has a TTFT of 3.5 seconds and users are complaining it feels slow. Total generation time is 8 seconds for a typical…