Chain of Thought
AI Technique
Overview
Developed byGoogle Research
Founded2022
Licenseresearch publication
Use caseimproving reasoning capabilities of large language models
Integrates with
Also see
Based onstep-by-step reasoning prompting
Knowledge graph stats
Claims68
Avg confidence93%
Avg freshness100%
Last updatedUpdated 20 days ago
Trust distribution
100% unverified
Chain of Thought
concept
Prompting technique that encourages step-by-step reasoning in language models
Compare with...published year
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| 2022 | ○Unverified | High | Fresh | 1 |
first published year
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| 2022 | ○Unverified | High | Fresh | 1 |
primary use case
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| improving reasoning capabilities of large language models | ○Unverified | High | Fresh | 1 |
| improving reasoning capabilities in large language models | ○Unverified | High | Fresh | 1 |
| step-by-step problem solving in AI systems | ○Unverified | High | Fresh | 1 |
| step-by-step problem solving for complex tasks | ○Unverified | High | Fresh | 1 |
| mathematical problem solving | ○Unverified | High | Fresh | 1 |
| logical reasoning tasks | ○Unverified | High | Fresh | 1 |
| improving reasoning capabilities in large language models through step-by-step problem decomposition | ○Unverified | High | Fresh | 1 |
| common sense reasoning | ○Unverified | High | Fresh | 1 |
| mathematical reasoning tasks | ○Unverified | High | Fresh | 1 |
| logical reasoning problems | ○Unverified | High | Fresh | 1 |
| commonsense reasoning problems | ○Unverified | Moderate | Fresh | 1 |
applies to
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| large language models | ○Unverified | High | Fresh | 1 |
enables technique
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| step-by-step reasoning | ○Unverified | High | Fresh | 1 |
| step-by-step reasoning in neural networks | ○Unverified | High | Fresh | 1 |
technique category
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| prompting strategy | ○Unverified | High | Fresh | 1 |
| prompting methodology | ○Unverified | High | Fresh | 1 |
requires
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| large language models | ○Unverified | High | Fresh | 1 |
| large language model | ○Unverified | High | Fresh | 1 |
| few-shot examples with reasoning steps | ○Unverified | High | Fresh | 1 |
| few-shot prompting examples | ○Unverified | Moderate | Fresh | 1 |
method involves
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| step-by-step reasoning demonstrations | ○Unverified | High | Fresh | 1 |
supports model
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| transformer-based language models | ○Unverified | High | Fresh | 1 |
| GPT-3 | ○Unverified | High | Fresh | 1 |
| PaLM | ○Unverified | High | Fresh | 1 |
works with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| large language models | ○Unverified | High | Fresh | 1 |
based on
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| step-by-step reasoning prompting | ○Unverified | High | Fresh | 1 |
| step-by-step reasoning methodology | ○Unverified | High | Fresh | 1 |
| natural language reasoning patterns | ○Unverified | High | Fresh | 1 |
| few-shot prompting techniques | ○Unverified | Moderate | Fresh | 1 |
technique type
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| prompting strategy | ○Unverified | High | Fresh | 1 |
improves performance on
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| arithmetic reasoning tasks | ○Unverified | High | Fresh | 1 |
| commonsense reasoning tasks | ○Unverified | High | Fresh | 1 |
supports task type
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| arithmetic reasoning | ○Unverified | High | Fresh | 1 |
| commonsense reasoning | ○Unverified | High | Fresh | 1 |
| symbolic reasoning | ○Unverified | High | Fresh | 1 |
enables
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| intermediate reasoning steps visualization | ○Unverified | High | Fresh | 1 |
enhanced by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| few-shot prompting | ○Unverified | High | Fresh | 1 |
developed by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Google Research | ○Unverified | High | Fresh | 1 |
founded year
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| 2022 | ○Unverified | High | Fresh | 1 |
alternative to
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| direct answer generation | ○Unverified | High | Fresh | 1 |
| zero-shot prompting | ○Unverified | Moderate | Fresh | 1 |
| few-shot prompting | ○Unverified | Moderate | Fresh | 1 |
| direct answer prompting | ○Unverified | Moderate | Fresh | 1 |
implemented in
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| GPT-3 | ○Unverified | High | Fresh | 1 |
| PaLM | ○Unverified | High | Fresh | 1 |
integrates with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| transformer-based language models | ○Unverified | High | Fresh | 1 |
| GPT-3 | ○Unverified | High | Fresh | 1 |
| LaMDA | ○Unverified | High | Fresh | 1 |
| transformer architectures | ○Unverified | High | Fresh | 1 |
| PaLM | ○Unverified | High | Fresh | 1 |
| prompt engineering techniques | ○Unverified | Moderate | Fresh | 1 |
related technique
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| tree of thoughts | ○Unverified | Moderate | Fresh | 1 |
| self-consistency decoding | ○Unverified | Moderate | Fresh | 1 |
license type
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| research publication | ○Unverified | Moderate | Fresh | 1 |
| research methodology (no specific license) | ○Unverified | Moderate | Fresh | 1 |
| public domain concept | ○Unverified | Moderate | Fresh | 1 |
| research concept | ○Unverified | Moderate | Fresh | 1 |
| research methodology | ○Unverified | Moderate | Fresh | 1 |
related to
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| few-shot learning | ○Unverified | Moderate | Fresh | 1 |
effectiveness depends on
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| model scale | ○Unverified | Moderate | Fresh | 1 |
licensing status
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| research methodology | ○Unverified | Moderate | Fresh | 1 |