The 2026 FDE differentiator: customers ask for LLMs by name, and the engineer who knows when a $0 logistic regression beats a $40k/month LLM pipeline, with the cost math, wins the room.
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When does classical ML beat an LLM, and when is the LLM the right call? A customer wants 'AI' for everything.
The 2026 FDE differentiator: customers ask for LLMs by name, and the engineer who knows when a $0 logistic regression beats a $40k/month LLM pipeline, with the cost math, wins the room.
Updated Aug 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.
UP NEXT ON YOUR JOURNEY
Next in this trackA regulated customer asks: 'Why did the model deny this application?' Explain SHAP and how you'd deploy explainability.Next in this trackA customer wants to forecast weekly demand. What's different about time-series ML, and how do you avoid embarrassing yourself?Next in this trackYour model says '90% probability.' The customer asks if that means it's right 90% of the time. Is it?
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