Prompt engineering

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Prompting techniques

Few-shot learning Large language models Google Brain Reasoning Train of thought

27 related topics

Terminology

Oxford English Dictionary Artificial intelligence Word of the year Language model Command

12 related topics

Automated prompt generation

Training data Information retrieval AI hallucinations Microsoft Research Knowledge graph

11 related topics

History

Expert system Natural language processing Trial-and-error ChatGPT The Wall Street Journal

6 related topics

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Natural language
Inputs Input/output
Generative AI
Software engineering
Metadata
API
AI boom
Retrieval-augmented generation
Prompt injection
Cybersecurity Computer security
Machine learning
Greg Rutkowski Greg Rutkowski?action=edit&redlink=1
Vincent van Gogh
Salvador Dalí
Word embedding

Terminology

Oxford English Dictionary
Artificial intelligence
Word of the year
Language model Large language model
Command Command (computing)
Instructions Computer program
Text-to-image
Vibe coding
AI-assisted software development
Collins Dictionary Collins English Dictionary
Context engineering Context engineering?action=edit&redlink=1
Production Software release life cycle

Rationale

Emergent ability Large language model emergent abilities
Scaling laws Neural scaling law
Fine-tuning Fine-tuning (deep learning)
Meta-learning Meta-learning (computer science)

Prompting techniques

Few-shot learning
Large language models
Google Brain
Reasoning Automated reasoning
Train of thought
Arithmetic
Commonsense reasoning
PaLM
Language model
Fine-tuned Fine-tuning (machine learning)
State-of-the-art State of the art
Mathematical reasoning
Benchmark Benchmark (computing)
Interpretability
Few-shot
University of Tokyo
Zero-shot
Tree search algorithms Tree search algorithm
Breadth-first Breadth-first search
Depth-first Depth-first search
Beam Beam search
DALL-E 2
Stable Diffusion
Midjourney
Meta Meta Platforms
Computer vision
Image segmentation

Automated prompt generation

Training data
Information retrieval
AI hallucinations Hallucination (artificial intelligence)
Microsoft Research
Knowledge graph
BERT BERT (language model)
Clustered Cluster analysis
Centroid
Reinforcement-learning Reinforcement learning
Floating-point Floating-point arithmetic
Gradient descent

History

Prompt injection

Cybersecurity
Machine learning models Machine learning model

Advanced semantic analysis

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Map overview Semantic statistics

Nodes85

Edges84

Triples76

Avg. degree1.98

Density0.023529

Components1

How this topic connects Entity context

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Prompt engineering

Top relations

related to history · 20

Prompt engineering → According, After, AI, AI's, ChatGPT, Early, For, German, In, Krishna, Mukherjee, NLP, November, The AI, The Intelligent Filling Manager, The Wall Street Journal, Translate, What, While, Who

related to Limitations · 9

Prompt engineering → Advances, AI, Effective, Furthermore, However, LLM, Prompts, The, This

related to Techniques · 7

Prompt engineering → AI-assisted, Collins Dictionary, Common, In, LLM, RAG, Vibe

related to Prompt · 6

Prompt engineering → AI, BPM, Lo-fi, Prompt, The, When

related to Terminology · 4

Prompt engineering → In, Oxford's, The, The Oxford English Dictionary

related to Automated prompt generation · 2

Prompt engineering → Recent, These

is a · 1

Prompt engineering → process of structuring natural language inputs

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

prompt model models prompts prompting engineering ai language instructions techniques chain-of-thought text-to-image llm learning reasoning few-shot llms cot may context

Entity relationships Subject–Predicate–Object triples

Subject	Predicate	Object	Confidence	Src
Prompt engineering	is a	process of structuring natural language inputs	0.90	text
few-shot prompting	instance of	and may include techniques	0.80	text
chain-of-thought prompting	instance of	and may include techniques	0.80	text
and role assignment.During the 2020s AI boom	instance of	and may include techniques	0.80	text
prompt engineering became regarded as a business capability across corporations	instance of	and may include techniques	0.80	text
industries	instance of	and may include techniques	0.80	text
token budgeting	instance of	The concept emphasises operational practices	0.80	text
provenance tags	instance of	The concept emphasises operational practices	0.80	text
versioning of context artifacts	instance of	The concept emphasises operational practices	0.80	text
observability	instance of	The concept emphasises operational practices	0.80	text
the ordering of examples	instance of	is highly sensitive to choices	0.80	text
the quality of demonstration labels	instance of	is highly sensitive to choices	0.80	text

Related concept clusters Concept neighborhoods

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Connections between topic areas Semantic bridges

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Explore this topic

Prompting techniques

Terminology

Automated prompt generation

History

Key facts & relationships

Topics to explore

Overview

Terminology

Rationale

Prompting techniques

Automated prompt generation

History

Prompt injection

Advanced semantic analysis

Map overview Semantic statistics

Prompt engineering

How this topic connects Entity context

Prompt engineering

Top relations

Important terminology Word statistics

Important terminology

Entity relationships Subject–Predicate–Object triples

Related concept clusters Concept neighborhoods

Connections between topic areas Semantic bridges