Cuestionario vinculado a una guía · Medio Nivel

Construir versus comprar: cuestionario sobre cómo obtener capacidades de IA

Prueba las tres rutas hacia la capacidad de IA (SaaS, compilaciones de API, modelos internos), el costo total de propiedad y cómo la sensibilidad y el bloqueo de los datos dan forma a la elección.

Pregunta 1 de 8

Which route does the guide say is where most custom enterprise AI work happens?

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Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.

  1. Which route does the guide say is where most custom enterprise AI work happens?
    • Training a foundation model from scratch
    • Buying a finished SaaS product
    • Building on a foundation model API with your own prompts, retrieval and tools
    • Hiring a consultancy to write rules by hand
  2. What practical rule does the guide give for deciding what to build?
    • Always build, because licences are expensive
    • Build where AI is core to your differentiation and buy where it is a commodity
    • Buy everything until you have 1,000 employees
    • Build only if a competitor has already built it
  3. Why is 'building is cheaper because there is no licence fee' a misconception?
    • Total cost of ownership includes staff, evaluation, security, support and keeping up with model changes
    • Open-weight models always require a paid licence
    • Building is illegal without vendor approval
    • APIs charge more when you build your own interface
  4. A hospital wants to process clinical notes but its data rules make sending records to an outside service difficult. Which option best addresses this?
    • An off-the-shelf consumer chatbot
    • A public API with default settings
    • Waiting for regulations to change
    • Self-hosting an open-weight model inside its own infrastructure
  5. How can a team reduce vendor lock-in when building on an API?
    • Sign the longest possible contract
    • Use an abstraction layer so the application can switch to a different model with limited rework
    • Avoid writing any evaluation tests
    • Hard-code one provider's model name throughout the codebase
  6. How does expected volume affect the build vs buy cost comparison?
    • Volume has no effect on cost
    • APIs always become cheaper as volume grows, so self-hosting never makes sense
    • Per-call API costs can exceed self-hosting at very high scale while being far cheaper at low scale
    • Self-hosting is always cheapest at low volume
  7. Why does the guide recommend keeping your own evaluation set of real tasks?
    • It lets you compare SaaS tools, API models and self-hosted models on equal terms
    • Vendors require it before selling a licence
    • It replaces the need for security review
    • It is used to train the foundation model
  8. According to the guide, when should fine-tuning be considered?
    • Before trying any prompts
    • Only when buying SaaS
    • Never, because it is always worse than prompting
    • After prompting and retrieval have been tried