Model Selection
Introduction
Duvo allows you to choose which AI model powers your assignments. Different models have different strengths, and selecting the right one can improve your assignment's performance for specific tasks.
Why Model Selection Matters
Different AI models excel at different types of tasks:
Complex reasoning - Some models are better at multi-step logic and analysis
Speed - Faster models are ideal for simple, high-volume tasks
Specialized tasks - Certain models perform better with code, data, or creative content
Choosing the right model helps you get better results and optimize performance.
How to Select a Model
When Building an Assignment
Open the assignment you're building or editing
Find the Model selection option in the configuration
Choose from the available models
Save your changes
Changing Models Later
You can change an assignment's model at any time:
Open the assignment
Edit the configuration
Select a different model
Save and test the changes
Choosing the Right Model
For Complex Analysis
When your assignment needs to:
Analyze detailed documents
Make nuanced decisions
Handle multi-step reasoning
Process complex instructions
Choose a more capable model that excels at reasoning.
For Simple Tasks
When your assignment needs to:
Perform straightforward data entry
Execute simple, repetitive actions
Handle high-volume processing
Complete quick lookups
A faster model may be more efficient.
For Specialized Work
Consider the nature of your task:
Document work - Models with strong comprehension
Data processing - Models good with structured information
Communication - Models that write naturally
Best Practices
Start with Defaults
The default model works well for most tasks. Only change if you have a specific reason.
Test Before Committing
When changing models:
Run test executions with the new model
Compare results to previous runs
Verify the assignment still works correctly
Monitor for any issues after switching
Match Model to Task
Don't assume more capable always means better:
Simpler models can be faster and more efficient
Complex models may be overkill for basic tasks
The right fit depends on your specific needs
Document Your Choice
If you select a specific model for a reason, note why in the assignment description. This helps future maintenance.
Things to Know
Model availability may vary based on your plan
Changing models doesn't affect past job history
Some tasks may perform differently with different models
Model capabilities are continuously improved
Default selections are optimized for general use
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