Author Profile
Şükrü Yusuf KAYA
AI Expert & Consultant
Areas of Expertise
Education & Certifications
- Stanford University
- Harvard University
- Yıldız Teknik Üniversitesi
- Beykent Üniversitesi
- Anadolu Üniversitesi
Latest Articles
View All30 ChatGPT Prompts for Turkish Lawyers 2026: Turkey's First Comprehensive Legal AI Prompt Library
30 ChatGPT prompts for Turkish lawyers - monopoly-depth prompt library. 10 categories covering legal drafting, contract analysis, case research, client preparation, KVKK compliance, employment law, family law, criminal law. Each prompt: Turkish legal framework (TBK, TCK, IK), real article references, limitations, when lawyer verification mandatory, KVKK confidentiality warnings, model recommendations.
Tree of Thoughts (ToT) 2026: Deep Turkish Technical Guide — New Paradigm for Complex Problem Solving
Most comprehensive Turkish technical guide for Tree of Thoughts (ToT): academic foundation (Yao et al. 2023 NeurIPS paper), CoT vs ToT vs GoT comparison, search algorithms (BFS, DFS, Beam Search, A*), 4 ToT components, classic benchmark results, 25+ Turkish practical examples, LangGraph implementation, cost analysis, Graph of Thoughts evolution, agentic systems integration.
ReAct Pattern (Reasoning + Acting) 2026: Deep Turkish Technical Guide — From Academia to Production
Most comprehensive Turkish technical guide for ReAct Pattern (Reasoning + Acting): academic foundation (Yao et al. 2022 ICLR paper), CoT vs ReAct difference, Thought-Action-Observation loop, 5 ReAct variants (Vanilla, MRKL, Self-Ask, ReWOO, Plan-and-Execute), LangChain + LangGraph + LlamaIndex implementations, agentic tool use integration, 25+ Turkish practical examples, error handling, production deployment, observability, cost optimization, model comparison.
Few-Shot Learning Prompt Optimization 2026: Deep Turkish Technical Guide — From GPT-3 to Modern LLMs
Most comprehensive Turkish technical guide for Few-Shot Learning prompt optimization: academic origins (Brown et al. 2020 GPT-3 paper, in-context learning discovery), 8 example selection strategies (random, similarity-based KATE, diversity, semantic, active learning), optimum example count analysis (1 vs 3 vs 5 vs 10 vs 32), ordering effects (Lu et al. 2022 'lost in middle'), delimiter and formatting best practices, Anthropic XML tags pattern, Few-Shot + CoT combination, recency + primacy bias, dynamic few-shot retrieval, prompt versioning, A/B test framework, 25+ Turkish practical examples, evaluation framework, production deployment.
Chain-of-Thought (CoT) Prompting 2026: Deep Turkish Technical Guide — From Academia to Practice
Most comprehensive Turkish technical guide for Chain-of-Thought (CoT) prompting: academic foundations (Wei et al. 2022 NeurIPS paper, Kojima et al. 'Let's think step by step'), 6 CoT variants (Zero-shot CoT, Few-shot CoT, Self-Consistency, Tree-of-Thoughts, Graph-of-Thoughts, Auto-CoT), benchmark performance (GSM8K 18% → 78%), 35+ Turkish practical examples, model-specific CoT behavior, when NOT to use, hallucination control, multi-step task design, agentic system integration, Turkish-specific pitfalls, cost impact.
100 Ready-to-Use ChatGPT Prompts 2026: Business, Marketing, Education — Turkey's Most Comprehensive Turkish Prompt Library
100 ready-to-use ChatGPT prompts for Turkish professionals — categorized (Management 15, Marketing 15, Content 15, Education 15, Software 10, E-commerce 10, HR 5, Customer Service 5, Finance 5, Legal 5, Health 3, Personal Productivity 2). Each prompt: use case, full prompt text, expected output example, variation tips, best-fit model (GPT-5/Claude/Gemini), KVKK warnings on sensitive topics. Prompt anatomy (Role, Context, Task, Format, Constraints — RBGFK framework), Turkish prompt engineering tips, official best practices from Anthropic + OpenAI, prompt iteration strategies, versioning.
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