Topic: prompt-engineering
Explore our technical articles and implementation guides tagged with prompt-engineering.
Claude 3.7 Sonnet Hybrid Reasoning: When to Use Thinking Tokens vs Standard Fast Mode
Master Claude 3.7 Sonnet's hybrid reasoning architecture. Learn how to configure dynamic thinking budgets, benchmark against o3-mini, and optimize API costs.
LLM API Cost Optimization Best Practices
Discover actionable strategies to drastically reduce your Large Language Model API costs without sacrificing output quality. Learn about token optimization, caching, and model routing.
Structured Output Prompting Best Practices
Learn how to enforce 100% reliable JSON outputs from Large Language Models using Structured Outputs, JSON Schemas, and Tool Calling.
Gemini AI Photo Generator: How to Generate Images with Gemini (2026 Guide)
Master prompt engineering, style parameters, aspect ratios, and Imagen 3 integration for generating high-resolution photos with Google Gemini.
The 4-Pillar Prompt Engineering Framework for Kimi K3 App Development
Discover the 4-pillar structured prompt engineering framework (Setting, Mechanics, Constraints, Feasibility) optimized for building games and apps with Kimi K3.