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Choosing the Model by Task

“Choosing the Model by Task” is a short 10-minute practice from Zayenha Practice in the Digital & AI domain. Don't default to the biggest model. Choose by: task depth, cost, privacy, speed. You can read its goal and first step for free; the full practice with every step and the interactive part comes with Plus.

Don't default to the biggest model. Choose by: task depth, cost, privacy, speed.

10 min Intermediate

Goal

Save time and cost by matching model to task instead of using Opus/GPT-4 for everything.

Steps

1

Quick simple task (classify, rephrase) → small fast model (Haiku, gpt-4o-mini).

4 more steps locked

Expected Outcome

Immediate

Save 30-70% of API cost without quality loss.

Evidence base

School: Applied LLM Engineering

Founders: Anthropic Research Team · Andrej Karpathy (2024)

Anthropic's model selection guide and Karpathy's general advice recommend starting smaller and upgrading only when needed.

Frequently asked questions

How long does "Choosing the Model by Task" take?

This exercise takes about 10 minutes, practiced solo in a Written reflection format.

When will I notice the effect of "Choosing the Model by Task"?

Save 30-70% of API cost without quality loss. In the short term: Your daily responses become faster because you use lighter models.

Is "Choosing the Model by Task" evidence-based?

Yes — it draws on Applied LLM Engineering (Anthropic Research Team, Andrej Karpathy (2024)). Anthropic's model selection guide and Karpathy's general advice recommend starting smaller and upgrading only when needed.

Is "Choosing the Model by Task" suitable for beginners?

Its difficulty level is: Intermediate. No external tools required — it can be practiced directly inside the platform.

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Interactive practice locked · 4 more steps locked

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