Uploaded January 2026 | Updated September 2026, 2 hours ago
Day 29/42: What Are Metrics?
Yesterday, we talked benchmarks.
Today, we talk reality.
Metrics measure how a system performs in your use case.
Faithfulness.
Relevance.
Latency.
Cost.
Benchmarks ask: “Is the model good?”
Metrics ask: “Is your system good?”
This distinction separates demos from products.
Missed Day 28? Important one.
Tomorrow, we automate evaluation with LLM-as-judge.
I’m Louis-François, PhD dropout, now CTO & co-founder at Towards AI. Follow me for tomorrow’s no-BS AI roundup 🚀
#Metrics #LLM #AIExplained #short
Day 29/42: What Are Metrics?
Yesterday, we talked benchmarks.
Today, we talk reality.
Metrics measure how a system performs in your use case.
Faithfulness.
Relevance.
Latency.
Cost.
Benchmarks ask: “Is the model good?”
Metrics ask: “Is your system good?”
This distinction separates demos from products.
Missed Day 28? Important one.
Tomorrow, we automate evaluation with LLM-as-judge.
I’m Louis-François, PhD dropout, now CTO & co-founder at Towards AI. Follow me for tomorrow’s no-BS AI roundup 🚀
#Metrics #LLM #AIExplained #short










