Lesson 1779 of 2116
AI Model Families: Pick Among Claude, GPT, and Gemini Without Tribalism
The three frontier families have real differences in long context, tool use, and reasoning style; pick per task using evals, not vibes.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2frontier family
- 3task routing
- 4eval cadence
Concept cluster
Terms to connect while reading
Section 1
The premise
Claude, GPT, and Gemini each have task profiles where they meaningfully lead and others where they trail; loyalty to one family costs quality on the tasks where another wins.
What AI does well here
- Map common task types to current family strengths
- Recommend a small per-task eval to confirm
- Suggest a router that picks per request
- Note how often to re-evaluate as models change
What AI cannot do
- Stay current as new model versions ship
- Predict the next leapfrog
- Replace your own evals on your own data
Key terms in this lesson
End-of-lesson quiz
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