5 posts
What is prompt engineering and how is it applied at enterprise scale? Prompt patterns, system prompts, few-shot, chain of thought, prompt management and evaluation guide.
What is prompt injection? Prompt injection is an AI security vulnerability where hidden instructions are inserted into a language model's input to make the model break the developer's rules. This guide: a clear definition, how prompt injection works, direct and indirect injection, its difference from jailbreak, real-world examples, LLM security, defense methods, and FAQs.
What is a guardrail? A guardrail is a safety layer that inspects a large language model's inputs and outputs against predefined rules and blocks harmful or out-of-policy behavior. This guide: a clear definition, how it works, input filtering and output validation, content moderation, LLM safety, GDPR, comparisons, and FAQs.
A comprehensive Turkish guide spanning the philosophical foundations of AI ethics and safety to production controls. Covers responsible AI principles (FAT — Fairness, Accountability, Transparency, Privacy, Safety), bias sources and mitigation, hallucination control, alignment techniques (Constitutional AI, RLHF, RLAIF), prompt injection and jailbreak defenses, deepfake detection, red teaming, EU AI Act + ISO 42001 integration, a responsible-AI maturity model, and 3 anonymized Turkish enterprise case studies.
A comprehensive Turkish guide that takes prompt engineering from zero to advanced. Covers the 6 components of a prompt, 14 core techniques (zero-shot, few-shot, CoT, ToT, ReAct, self-consistency, meta-prompting), Turkish-specific notes, 20+ ready templates, model-specific differences (GPT-5, Claude Opus 4.7, Gemini 3), prompt injection defenses, DSPy-based automatic optimization, and A/B testing.