# Tree of Thoughts (ToT) 2026: Deep Turkish Technical Guide — New Paradigm for Complex Problem Solving

> Source: https://sukruyusufkaya.com/en/blog/tree-of-thoughts-karmasik-problem
> Updated: 2026-05-13T21:01:33.417Z
> Type: blog
> Category: yapay-zeka
**TLDR:** 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.

<tldr data-summary="[&#34;Tree of Thoughts (ToT) - paradigm where LLMs explore PARALLEL thought branches in tree structure with search. Yao et al. 2023 NeurIPS paper. Dramatic improvement over CoT in complex problems.&#34;,&#34;Classic benchmark: Game of 24 - GPT-4 CoT 4%, GPT-4 ToT 74%. 70-point jump.&#34;,&#34;4 ToT components: (1) Thought Decomposition, (2) Thought Generation, (3) State Evaluation, (4) Search Algorithm (BFS/DFS/Beam).&#34;,&#34;CoT vs ToT vs Graph of Thoughts (GoT): CoT linear, ToT tree branching, GoT graph with merging.&#34;,&#34;Use cases: planning, creative writing, games, research synthesis, decision making.&#34;,&#34;2026 production: LangGraph state machine + tree traversal. Cost 10-50x CoT.&#34;,&#34;25+ Turkish practical examples: museum routes, legal strategy, investment decisions, MBA case studies, creative marketing.&#34;]" data-one-line="Tree of Thoughts solves complex problems via parallel thought branches and search - Yao 2023, GPT-4 Game of 24 jumped 4% to 74%."></tldr>

## 1. Introduction

Tree of Thoughts - LLMs generate parallel thought branches in tree structure, search via BFS/DFS/Beam Search. Yao et al. 2023.

## 2. Benchmark Results

Game of 24: GPT-4 CoT 4%, ToT 74%. Creative Writing: 6.93 to 7.56 coherence. 5x5 Crosswords: 16% to 60%.

## 3. 4 Components

Thought Decomposition, Thought Generation, State Evaluation, Search Algorithm.

## 4. CoT vs ToT vs GoT

CoT linear, ToT tree, GoT graph with aggregation.

## 5. Implementation

LangGraph state machine, BFS recommended, max_depth 3-7, beam_width 3-5.

## 6. Cost

10-50x CoT. Worth it for critical complex problems.

## 7. Conclusion

ToT essential for complex problem solving. Production via LangGraph.