Global AI Trends 2024–2025
Global evidence shows rapid AI adoption, rising capability, and widening gaps between regions and firms, with the US driving investment and commercial uptake.
Evaluating AI Systems: Metrics that Matter
Evaluating AI systems means measuring real behaviour, not synthetic benchmarks.
Latency is architectural
Most latency comes from retrieval hops and orchestration, not the model; RAG pipelines often recreate microservice-style chatter that slows systems down.
Chat Interface to System Component
AI systems behave like probabilistic components; engineers must build structured interfaces and layered constraints to make them reliable inside software systems.
What software engineers need to know about LLMs
Engineers must think in tokens to avoid test‑to‑production mismatches.