Model Optimization
Model Optimization allows you to test different AI models to find the best fit for your specific use case.
What you'll learn ⏱️ 6 minutes
Available AI models and their characteristics
How to test and compare different models
Temperature and parameter settings
Performance analysis and model selection
Cost vs performance considerations
Best practices for model optimization
Integration with Prompt Families
Accessing Model Optimization
From your project dashboard, click the Actions button on any task, then select "Model Optimization". You'll see the model testing and configuration interface.
Model Optimization Interface:
Available Models: List of models you can test and compare
Test Configuration: Settings for individual model testing
Performance Comparison: Results and analysis tools
Available Models
Empromptu supports multiple AI models from leading providers:
OpenAI Models
GPT-4o
Provider: OpenAI
Context: 128,000 tokens
Strengths: Excellent general performance, strong reasoning
Best for: Complex tasks requiring detailed analysis
GPT-4o Mini
Provider: OpenAI
Context: 128,000 tokens
Strengths: Faster responses, cost-effective
Best for: High-volume applications, simpler tasks
Anthropic Models
Claude 3 Opus
Provider: Anthropic
Context: 200,000 tokens
Strengths: Superior accuracy, excellent reasoning
Best for: Critical applications requiring highest accuracy
Claude 3 Sonnet
Provider: Anthropic
Context: 180,000 tokens
Strengths: Balanced performance and speed
Best for: Production applications needing reliability
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