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.
1. What is CoT?
Chain-of-Thought prompting — having LLMs write reasoning steps before final answer. Wei et al. 2022 NeurIPS paper.
2. Six Variants
Zero-shot CoT, Few-shot CoT, Self-Consistency, Tree-of-Thoughts, Graph-of-Thoughts, Auto-CoT.
3. Native Reasoning Era
GPT-5, Claude Opus 4 extended thinking, o3, Gemini 2.5 Deep Thinking, DeepSeek R1 — all native CoT in 2026.
4. When to Use
Multi-step math, logic puzzles, multi-hop reasoning, code debugging, planning.
5. When NOT to Use
Single-fact recall, creative writing, customer-facing simple queries.
6. Conclusion
CoT revolutionized LLM reasoning. 6 variants for different scenarios. Modern LLMs native CoT but manual techniques still valuable.
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