🧠Understand Chain-of-Thought Reasoning
Stop pasting 'let's think step by step' on every prompt and learn where chain-of-thought actually changes the answer — math reasoning, multi-step planning, ambiguous reading — and where it just burns tokens. Walk away able to point at three of your own prompts that genuinely need CoT, and three that don't.
Phase 1What CoT Actually Does to a Model
See what CoT actually changes inside model behavior
CoT doesn't add knowledge — it changes the search
6 minCoT doesn't add knowledge — it changes the search
CoT helps in three regimes — name them or you'll waste it
6 minCoT helps in three regimes — name them or you'll waste it
Why decomposition lifts odds with no new info
7 minWhy decomposition lifts odds with no new info
CoT costs tokens, latency, and sometimes accuracy
6 minCoT costs tokens, latency, and sometimes accuracy
Phase 2Zero-Shot vs CoT vs Structured CoT
Run zero-shot vs CoT vs structured CoT on the same prompts
Pick one problem and run all three styles
7 minPick one problem and run all three styles
Run zero-shot first — and write down what fails
7 minRun zero-shot first — and write down what fails
Run free-form CoT and watch where chains derail
7 minRun free-form CoT and watch where chains derail
Build structured CoT to constrain the derail
8 minBuild structured CoT to constrain the derail
Score all three and decide what ships
7 minScore all three and decide what ships
Phase 3Self-Consistency, ToT, and Reasoning Models
Map self-consistency, tree-of-thought, and reasoning-mode models
Your CoT chain just hit the wrong answer — what now
7 minYour CoT chain just hit the wrong answer — what now
A planning task needs branching, not voting
8 minA planning task needs branching, not voting
A reasoning-mode model already does CoT — silently
8 minA reasoning-mode model already does CoT — silently
Combine the techniques without doubling the cost
8 minCombine the techniques without doubling the cost
Phase 4Audit Your Own Prompts for CoT Fit
Audit your own prompts — three that need CoT, three that don't
Three CoT-fit, three CoT-waste — and a written rationale
20 minThree CoT-fit, three CoT-waste — and a written rationale
Frequently asked questions
- Does 'let's think step by step' actually improve LLM accuracy?
- This is covered in the “Understand Chain-of-Thought Reasoning” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
- When does chain-of-thought prompting hurt instead of help?
- This is covered in the “Understand Chain-of-Thought Reasoning” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
- What's the difference between chain-of-thought and tree-of-thought prompting?
- This is covered in the “Understand Chain-of-Thought Reasoning” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
- Do reasoning-mode models like o1 still need chain-of-thought prompts?
- This is covered in the “Understand Chain-of-Thought Reasoning” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
- How is self-consistency different from regular chain-of-thought?
- This is covered in the “Understand Chain-of-Thought Reasoning” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
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