Chapter 1: ChatGPT and GPT-4
GPT Model Overviewβ
| Model | Context | Best For |
|---|---|---|
| GPT-3.5 Turbo | 4K-16K | Fast, cost-effective tasks |
| GPT-4 | 8K-128K | Complex reasoning, coding |
| GPT-4 Turbo | 128K | Long documents, detailed analysis |
System Promptsβ
GPT models support system prompts for persistent instructions:
System: You are a helpful coding assistant. Always explain your code with comments and suggest best practices.
User: Write a function to sort an array.
Best Practices for GPTβ
- Be explicit about format requirements
- Use temperature settings (0 for consistent, 0.7+ for creative)
- Leverage system prompts for consistent behavior
- Break complex tasks into steps
GPT-Specific Techniquesβ
JSON Modeβ
Return your response as valid JSON with this structure:
{
"summary": "...",
"key_points": ["...", "..."],
"recommendation": "..."
}
Function Callingβ
GPT-4 supports structured function outputs for integration with applications.
Key Takeawaysβ
Summary
- Use system prompts for consistent behavior
- Temperature controls creativity vs consistency
- JSON mode for structured outputs
- GPT-4 excels at reasoning and coding