Optimizing for Different AI Models

Each AI model has unique strengths, training data, and response patterns. Understanding these differences helps you craft prompts that leverage each model's capabilities.

GPT-4 / GPT-4 Turbo (OpenAI)

Strengths

• Excellent at following complex instructions
• Strong coding capabilities
• Great at creative writing
• Good at maintaining context

Best Practices

• Be explicit about format requirements
• Use system messages for persistent instructions
• Leverage its strong instruction-following

Example Optimization

System: You are a senior software engineer. Always provide code with comments and explain your reasoning.

User: Write a Python function to validate email addresses.

Claude (Anthropic)

Strengths

• Excellent at nuanced, thoughtful responses
• Strong ethical reasoning
• Great at long-form content
• Good at admitting uncertainty

Best Practices

• Ask for pros and cons
• Request nuanced analysis
• Use for content that requires balanced perspectives

Example Optimization

Analyze the potential benefits and risks of implementing AI in healthcare. Consider multiple stakeholder perspectives and acknowledge areas of uncertainty.

Gemini (Google)

Strengths

• Strong multimodal capabilities
• Good at factual information
• Integrates well with Google services
• Strong reasoning capabilities

Best Practices

• Leverage its multimodal features
• Good for research and fact-based tasks
• Use for tasks requiring current information

Model-Agnostic Tips

1. Test the same prompt across models
2. Note behavioral differences in a log
3. Build model-specific templates over time
4. Consider cost vs. capability tradeoffs

Choosing the Right Model

The Loomi Advantage

Loomi automatically optimizes your prompts for your selected provider, handling the nuances so you can focus on what you want to achieve.