Why it matters
AI Engineer session on AI Engineering with the Google Gemini 2.5 Model Family - Philipp Schmid, Google DeepMind. It adds practical context for how teams are building and operating AI systems in production.
My takeaway: Useful for model evaluation because it ties capability claims to benchmarks, training decisions, or deployment tradeoffs instead of relying on surface-level demos.