# Chain-of-Thought (CoT) Prompting 2026: Deep Turkish Technical Guide — From Academia to Practice

> Source: https://sukruyusufkaya.com/en/blog/chain-of-thought-prompting-turkce
> Updated: 2026-05-13T19:57:50.380Z
> Type: blog
> Category: yapay-zeka
**TLDR:** 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.

<tldr data-summary="[&#34;Chain-of-Thought (CoT) prompting — making LLMs write reasoning chains before answers. Wei et al. 2022 paper, GSM8K math jumped 18% to 78%.&#34;,&#34;6 main variants: Zero-shot CoT, Few-shot CoT, Self-Consistency, Tree-of-Thoughts, Graph-of-Thoughts, Auto-CoT.&#34;,&#34;2024-2026: GPT-5, Claude 4.6, o3 ship with NATIVE reasoning. But prompt CoT techniques still valuable for cost-control, self-host models, debugging.&#34;,&#34;35+ Turkish practical examples covered: math, logic, business analysis, legal reasoning, code debugging.&#34;,&#34;Cost impact: CoT uses 2-5x more tokens. Self-Consistency 5-40x.&#34;,&#34;When NOT to use: single-fact recall, creative writing, simple greetings.&#34;]" data-one-line="CoT prompting makes LLMs write thinking chains — 6 variants, native in 2026 modern LLMs but prompt techniques still valuable."></tldr>

## 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.