Category
Prompt Engineering
Every technique that works — with real examples
// 11 articles filed
// FIG. CAT-PROM
PristrenPristrenEvery technique that works — with real examples
// 11 articles filed
Code prompting is different because outputs are verifiably correct or wrong. Six techniques that consistently improve code quality, with specific examples and the most underused application.
Mahmudul Haque Qudrati
CEO & ML Engineer
Role prompting assigns a persona to the model to shift its responses toward domain-specific language and reasoning. When it helps, when it backfires, and real before-and-after examples.
Mahmudul Haque Qudrati
CEO & ML Engineer
Getting reliable structured output from LLMs requires more than asking for JSON. Three methods from least to most reliable, with real prompt examples and failure modes for each.
Mahmudul Haque Qudrati
CEO & ML Engineer
Prompt chaining passes the output of one LLM call as input to the next. Four patterns with real examples, and when chaining is worth the complexity vs. a single prompt.
Mahmudul Haque Qudrati
CEO & ML Engineer
Self-consistency runs the same prompt multiple times and takes the majority answer. Wang et al. showed 5-40% accuracy improvements on reasoning tasks. When the cost is worth it.
Mahmudul Haque Qudrati
CEO & ML Engineer
Prompt injection is when malicious input overrides your system prompt. Two attack types, documented real-world examples, and five defense strategies ranked by effectiveness.
Mahmudul Haque Qudrati
CEO & ML Engineer
Every major prompt engineering technique with real before-and-after examples. Zero-shot, CoT, system prompts, RAG, ReAct, and what does not work despite the hype.
Mahmudul Haque Qudrati
CEO & ML Engineer
Tree of Thought has the model explore multiple reasoning paths and pick the best. Yao et al. 2023 showed significant gains on hard problems. Most tasks don't need it — here's when they do.
Mahmudul Haque Qudrati
CEO & ML Engineer
Chain of thought prompting improves accuracy on multi-step reasoning by 10-40%. Eight specific CoT patterns with real before-and-after prompt examples.
Mahmudul Haque Qudrati
CEO & ML Engineer
System prompts set the model's role, constraints, and output format. Six complete system prompt examples for customer support, code review, research, writing, data analysis, and project management.
Mahmudul Haque Qudrati
CEO & ML Engineer
Few-shot prompting uses 3-5 examples to show the model the pattern you want. When it outperforms fine-tuning, when it fails, and how format sensitivity affects output quality.
Mahmudul Haque Qudrati
CEO & ML Engineer
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