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Token and Model Economics

Token and model economics: managing prompt length, context windows, caching, batching, model routing and quality/cost experiments to optimize spend and outcomes.

AI FinOps and Cost Engineering Specialist

Course overview

Token and model economics: managing prompt length, context windows, caching, batching, model routing and quality/cost experiments to optimize spend and outcomes.

Examines how prompt size and context windows affect token consumption and related costs.

Introduces operational techniques (caching, batching, summarization) and strategies for model routing and fallback.

Describes how to design and measure experiments to balance cost versus response quality.

4lessons
4lessons
24activities
12exercises
3videos

Skills and topics covered

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