1 min read
Prompt Engineering Patterns for Enterprise RAG Systems
Poorly designed prompts lead to hallucinations, ignored context, or responses that fail to meet business requirements. A systematic approach to prompt…
Prompt Engineering
18 articles
1 min read
Prompt Engineering Patterns for Enterprise Applications
Include examples in prompts to guide model behavior for domain-specific tasks. This is especially effective for classification and formatting tasks where…
1 min read
Prompt Engineering: System Prompts That Actually Work
Invest time in crafting and testing your system prompts. They are the foundation of consistent, high-quality AI interactions.
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Prompt Engineering: Structured Output with JSON Mode
For even stricter control, use the structured outputs feature with a JSON schema. JSON mode transforms LLMs from conversational tools into reliable data…
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Prompt Engineering: Chain-of-Thought Techniques for Complex Reasoning
When faced with multi-step problems, LLMs perform better when prompted to reason step-by-step rather than jump directly to answers.
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Prompt Engineering Best Practices for Enterprise Applications
A well-structured prompt includes context, instructions, examples, and output format specifications.
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Prompt Caching with Claude and Azure OpenAI: Reducing Latency and Costs
Track cache hit rates in your monitoring. Applications with high context reuse typically see 60-80% cache hit rates, dramatically reducing per-request costs.
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Prompt Engineering 2025: Advanced Techniques for Better AI Outputs
Query: "What's the average order value by customer segment?" SQL: """ Effective prompt engineering is about clear communication. The better you describe…
2 min read
Prompt Engineering Mastery: Advanced Techniques for GPT-4
GPT-4 has been available since March 2023 and the gap between practitioners who've put in real work with it and those still writing prompts by intuition is…
2 min read
Prompt Engineering Patterns for AI Image Generation
Master prompt engineering techniques for generating high-quality images with DALL-E 2 and other AI image models.
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Prompt Compression: Reducing Token Usage
Tomorrow we'll explore semantic compression techniques in more depth. LLMLingua Prompt Compression Paper Token Optimization Guide
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Prompt Engineering Fundamentals for Azure OpenAI
Provide specific line-by-line feedback.""", requiredvars=["databasetype", "query"] ) prompt = SQLREVIEWTEMPLATE.format( databasetype="Azure SQL Database"…
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System Prompts in Azure OpenAI: Controlling AI Behavior
System prompts are special messages that set the context for the entire conversation: A well structured system prompt includes: Build a library of reusable…
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Chain-of-Thought Prompting: Making LLMs Reason Step by Step
Chain-of-thought prompting encourages models to break down problems into intermediate reasoning steps before giving a final answer.
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Few-Shot Learning with Azure OpenAI: Teaching by Example
Few shot learning provides examples that demonstrate the desired input output pattern: Zero shot : No examples, just instructions One shot : One example Few…
2 min read
Prompt Engineering Fundamentals for Azure OpenAI
Prompt engineering in January 2023 was the skill that separated AI features that worked in demos from AI features that worked in production. The gap: a demo…
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Prompt Engineering Basics: Getting Better Results from AI
Poor prompt: "Write code for a website" Better prompt: "Write HTML and CSS for a responsive landing page for a SaaS product. Include a hero section with…
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Advanced GPT-3 Prompt Engineering: Preparing for the Next Wave of AI
The trend is clear: models are becoming more capable at following instructions and engaging in dialogue-like interactions.