Explore with AI
Ultimate Prompt Engineering Tutor
Steal my o3 prompt to learn 100+ prompt engineering techniques, one by one, in an interactive course format. This is from this tweet
---------------------------------------------
ULTIMATE PROMPT ENGINEERING TUTOR
---------------------------------------------
Syllabus
- 10-Shot + 1 AutoDiCoT
- 10-Shot + Context
- 10-Shot AutoDiCoT
- 10-Shot AutoDiCoT + Default to Reject
- 10-Shot AutoDiCoT + Extraction Prompt
- 10-Shot AutoDiCoT without Email
- 20-Shot AutoDiCoT
- 20-Shot AutoDiCoT + Full Words
- 20-Shot AutoDiCoT + Full Words + Extraction Prompt
- 3D Prompting
- Act
- Active Example Selection
- Active Prompting (Active-Prompt)
- Adaptive Prompting
- Agent / Agent-based Prompting
- AlphaCodium
- Ambiguous Demonstrations
- Analogical Prompting
- Answer Aggregation (Self-Consistency)
- Answer Engineering
- APE (Automatic Prompt Engineer)
- API-based Model Prompting
- AttrPrompt
- Audio Prompting
- AutoCoT (Automatic Chain-of-Thought)
- AutoDiCoT (Automatic Directed CoT)
- Automated Prompt Optimization (APO)
- Automatic Meta-Prompt Generation
- Auxiliary Trained NN Editing
- Balanced Demonstrations
- Basic + Annotation Guideline-Based Prompting + Error Analysis-Based Prompting
- Basic Prompting / Standard Prompting / Vanilla Prompting
- Basic with Term Definitions
- Batch Prompting (evaluation)
- Batched Decoding
- Binder
- Binary Score (Output Format)
- Black-Box APO
- Boosted Prompting
- Bullet Point Analysis
- Chain-of-Code (CoC)
- Chain-of-Dictionary (CoD)
- Chain-of-Event (CoE)
- Chain-of-Images (CoI)
- Chain-of-Knowledge (CoK)
- Chain-of-Symbol (CoS)
- Chain-of-Table
- Chain-of-Thought (CoT) Prompting
- Chain-of-Verification (CoVe)
- ChatEval
- Cloze Prompts
- CLSP (Cross-Lingual Self Consistent Prompting)
- Code-Based Agents
- Code-Generation Agents
- Complexity-Based Prompting
- Constrained Optimization (APO)
- Continuous Prompt / Soft Prompt
- Continuous Prompt Optimization (CPO)
- Contrastive CoT Prompting
- Conversational Prompt Engineering
- COSP (Consistency-based Self-adaptive Prompting)
- Coverage-based Prompt Generation
- CRITIC (Self-Correcting with Tool-Interactive Critiquing)
- Cross-File Code Completion Prompting
- Cross-Lingual Transfer Prompting
- Cultural Awareness Prompting
- Cumulative Reasoning
- Dater
- DDCoT
- DecoMT
- DECOMP (Decomposed Prompting)
- Demonstration Ensembling (DENSE)
- Demonstration Selection (Bias Mitigation)
- Detectors (Security)
- DiPMT
- Direct Prompt
- DiVeRSe
- Discrete Prompt / Hard Prompt
- Discrete Prompt Optimization (DPO)
- Discrete Token Gradient Methods
- DSP (Demonstrate-Search-Predict)
- Emotion Prompting
- Ensemble Methods (APO)
- Ensemble Refinement (ER)
- Ensembling (General)
- English Prompt Template (Multilingual)
- Entropy-based De-biasing
- Equation only (CoT Ablation)
- Evaluation (as Prompting Extension)
- Evolutionary Computing (APO)
- Exemplar Generation (ICL)
- Exemplar Ordering (ICL)
- Exemplar Selection (ICL)
- Faithful Chain-of-Thought
- Fast Decoding (RAG)
- Fed-SP / DP-SC / CoT
- Few-Shot Learning / Prompting
- Few-Shot CoT
- Fill-in-the-blank format
- Flow Engineering
- FM-based Optimization (APO)
- G-EVAL
- Genetic Algorithm (APO)
- GITM
- Gradient-Based Optimization (APO)
- Graph-of-Thoughts
- Greedy Decoding
- GrIPS
- Guardrails
- Heuristic-based Edits (APO)
- Heuristic Meta-Prompt (APO)
- Hybrid Prompt Optimization (HPO)
- Human-in-the-Loop (Multilingual)
- Image-as-Text Prompting
- Image Prompting
- Implicit RAG
- In-Context Learning (ICL)
- Inference Chains Instruction
- Instructed Prompting
- Instruction Induction
- Instruction Selection (ICL)
- Instruction Tuning
- Interactive Chain Prompting (ICP)
- Interleaved Retrieval guided by CoT (IRCoT)
- Iterative Prompting (Multilingual)
- Iterative Retrieval Augmentation
- Jailbreaking
- KNN (ICL Exemplar Selection)
- Knowledgeable Prompt-tuning (KPT)
- Language to Logic Instruction
- Least-to-Most Prompting
- Likert Scale (Output Format)
- Linear Scale (Output Format)
- LLM Feedback (APO)
- LLM-based Mutation (Evolutionary APO)
- LLM-EVAL
- Logical Thoughts (LoT)
- LogiCoT
- Maieutic Prompting
- Manual Instructions (APO Seed)
- Manual Prompting
- MAPS
- MathPrompter
- Max Mutual Information Method
- Memory-of-Thought Prompting
- Meta-CoT
- Metacognitive Prompting (MP)
- Meta-learning (Contextual)
- Meta Prompting (APO)
- Mixture of Reasoning Experts (MoRE)
- Modular Code Generation
- Modular Reasoning, Knowledge & Language (MRKL)
- Multimodal Chain-of-Thought
- Multimodal Graph-of-Thought
- Multimodal ICL
- Multi-Objective / Inverse RL (APO)
- Multi-Task Learning (MTL)
- Negative Prompting (Image)
- Numeric Score Feedback (APO)
- Observation-Based Agents
- One-Shot Learning / Prompting
- One-Shot AutoDiCoT + Full Context
- One-Step Inference Instruction
- Only In-File Context
- Output Formatting (Prompt Component)
- Package Hallucination
- Paired-Image Prompting
- PAL (Program-Aided Language Model)
- PARC
- Parallel Point Expanding (SoT)
- Pattern Exploiting Training (PET)
- Plan-and-Solve (PS / PS+)
- Point-Expanding Stage (SoT)
- Positive/Negative Prompt (SPA)
- Postpone Decisions / Exploration (AlphaCodium)
- Predictive Prompt Analysis
- Prefix Prompts
- Prefix-Tuning
- Program Prompting
- Program Synthesis (APO)
- Program-of-Thoughts (PoT)
- Prompt Chaining
- Prompt Drift
- Prompt Engineering (General)
- Prompt Engineering Technique (APO)
- Prompt Hacking
- Prompt Injection
- Prompt Leaking
- Prompt Mining (ICL)
- Prompt Modifiers (Image)
- Prompt Paraphrasing
- Prompt Template Language Selection (Multilingual)
- Prompt Tuning
- Prompting Router (SoT-R)
- ProTeGi
- Prototype-based De-biasing
- Question Clarification
- RAG (Retrieval Augmented Generation)
- Random CoT
- RaR (Rephrase and Respond)
- ReAct (Reason + Act)
- Recursion-of-Thought
- Reflexion
- Region-based Joint Search (APO Filtering)
- Reinforcement Learning (APO)
- Re-reading (RE2)
- Retrieved Cross-file Context
- Retrieval with Reference
- Reverse Chain-of-Thought (RCoT)
- RLPrompt
- Role Prompting / Persona Prompting
- Role-based Evaluation
- Router (SoT-R)
- S2A (System 2 Attention)
- Sample-and-marginalize decoding
- Sample-and-Rank
- Sampling (Decoding Strategy)
- SCoT (Structured Chain-of-Thought)
- SCoT Prompting
- SCULPT
- Seed Prompts (APO Start)
- Segmentation Prompting
- Self-Ask
- Self-Calibration
- Self-Consistency
- Self-Correction / Self-Critique / Self-Reflection
- Self-Generated ICL
- Self-Instruct
- Self-Refine
- Self-Referential Evolution (APO)
- Self-Verification
- Semantic reasoning via bullet points (AlphaCodium)
- SimToM
- Single Prompt Expansion (APO)
- Skeleton Stage (SoT)
- Skeleton-of-Thought (SoT)
- Soft Decisions with Double Validation (AlphaCodium)
- Soft Prompt Tuning
- SPA (Syntactic Prevalence Analyzer)
- Step-Back Prompting
- Strategic Search and Replanning (APO)
- StraGo
- STREAM
- Style Prompting
- Synthetic Prompting
- Sycophancy
- Tab-CoT
- Task Format (Prompt Sensitivity)
- Task Language Prompt Template (Multilingual)
- TaskWeaver
- Templating
- Test Anchors (AlphaCodium)
- Test-based Iterative Flow (AlphaCodium)
- Text-Based Techniques
- TextGrad
- ThoT (Thread-of-Thought)
- THOR (Three-Hop Reasoning)
- Thorough Decoding (RAG)
- Token Mutations (Evolutionary APO)
- Tool Use Agents
- TopK Greedy Search (APO Filtering)
- ToRA (Tool-Integrated Reasoning Agent)
- ToT (Tree-of-Thoughts)
- Training Data Reconstruction (Security Risk)
- Trained Router (SoT-R)
- Translate First Prompting
- UCB / Bandit Search (APO Filtering)
- Uncertainty-Routed CoT Prompting
- UniPrompt
- Universal Self-Adaptive Prompting (USP)
- Universal Self-Consistency
- Vanilla Prompting (Bias Mitigation)
- Variable Compute Only (CoT Ablation)
- Verbalized Score (Calibration)
- Verify-and-Edit (RAG)
- Video Generation Prompting
- Video Prompting
- Visual Prompting
- Vocabulary Pruning (APO)
- Vote-K (ICL Exemplar Selection)
- Voyager
- Word / Phrase Level Edits (APO)
- X-InSTA Prompting
- XLT (Cross-Lingual Thought Prompting)
- YAML Structured Output (AlphaCodium)
- Zero-Shot Learning / Prompting
- Zero-Shot CoT
Continue Your Prompt Engineering Journey
Ready to explore more advanced prompt engineering techniques?
Comments
Approved comments appear below. Log in with GFAVIP to post or reply.
View comments archive