Cloud vs Local Model Division in AI Coding Workflows
ORIGINAL / The big brain for the big work... #aiagents #buildinpublic #deeplearning #jetbrains @JetBrainsTV
This video introduces Paul Everitt's rule for dividing coding tasks between cloud and local models, and recommends a free course on the topic.
01 ABSTRACT
Paul Everitt suggests using frontier cloud models for complex tasks and local models for simpler ones, and highlights a free DeepLearning.AI course in collaboration with JetBrains.
02 KEY FINDINGS
- Paul Everitt proposes a 'big brain' rule: large models for big tasks, small models for small tasks.
- Cloud frontier models are suitable for complex coding tasks, local models for simple ones.
- A free course is offered by DeepLearning.AI in partnership with JetBrains.
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