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NirDiamant/Prompt_Engineering

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

PossiblePossibly related (embedding) · 54%PromptLab →
PossiblePossibly related (embedding) · 50%A system-level approach to prompt injection: separating instruction and data channels in LLM agents [P] →
PossiblePossibly related (embedding) · 47%How're you deploying LLMs in production now-a-days? What's the best and most affordable way? [D] →
PossiblePossibly related (embedding) · 46%Roast my 3-year roadmap: Pivoting from Python/BaaS to AI Infrastructure & Go (Graduating 2029) [D] →
PossiblePossibly related (embedding) · 45%IEEE Rolls Out Large Language Models Virtual Training Course →
FuzzySimilar title/name (fuzzy) · 59%BayesPrompt: human readable prompts that make sense →
“Fuzzy title match (0.73): “BayesPrompt: human readable prompts that make sense” ≈ “NirDiamant/Prompt_Engineering””
FuzzySimilar title/name (fuzzy) · 59%Tuning the Stochastic Machine: A Systems Engineer's Operating Model for Human-AI Engineering →
“Fuzzy title match (0.73): “Tuning the Stochastic Machine: A Systems Engineer's Operatin” ≈ “NirDiamant/Prompt_Engineering””
FuzzySimilar title/name (fuzzy) · 59%Parameter-efficient Prompt Tuning of Vision Foundation Model With Adaptive Focal Loss for Interpretable MCI Screening →
“Fuzzy title match (0.73): “Parameter-efficient Prompt Tuning of Vision Foundation Model” ≈ “NirDiamant/Prompt_Engineering””

Related to

toolPromptLab

Covers

newsA system-level approach to prompt injection: separating instruction and data channels in LLM agents [P]newsHow're you deploying LLMs in production now-a-days? What's the best and most affordable way? [D]newsRoast my 3-year roadmap: Pivoting from Python/BaaS to AI Infrastructure & Go (Graduating 2029) [D]newsIEEE Rolls Out Large Language Models Virtual Training Course

Implements

paperBayesPrompt: human readable prompts that make sense paperTuning the Stochastic Machine: A Systems Engineer's Operating Model for Human-AI Engineering paperParameter-efficient Prompt Tuning of Vision Foundation Model With Adaptive Focal Loss for Interpretable MCI Screening paperAn Introduction to Sparse Identification of Nonlinear Dynamics for Engineering Applications paperPartition, Prompt, Aggregate: Statistical Self-Consistency in Language Models paperBayesPO: Bayesian Prompt Optimization via Parallel-Tempered Gradient-Guided Discrete MCMC paperPrompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models paperPGE-SAM: Prompt-Guided Feature Enhancement for Interactive Segmentation under Degradation paperSimon-SR: Spatially Adaptive Modulation and Visual Prompt Adaptation for Text-Reinforced Super-Resolution paperCanopy: A Heterograph Foundation Model for Metabolic Engineering paperObject Aligner: A Configurable JSON Schema Similarity Score for Graphs, Applied to LLM Prompt Optimization paperCheap Code, Costly Judgment: A Case Study on Governable Agentic Software Engineering paperPrompt Compression via Activation Aggregation paperLenGuard-GPC: Length Guarding with Guided-Prompt Consistency for Spatial Reasoning Reinforce Learning paperTowards Privacy-Preserving Federated Prompt Tuning under Data Heterogeneity: A Subspace-Decomposed Expert Approach paperPC-Edit: Prompt-Contrastive Region Discovery and Region-Guided Editing paperPrompt-Adapter Context Routing for Parameter-Efficient Multi-Shot Long Video Extrapolation paperZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models paperPrompt-Conditioned Channel Attention for Hierarchical Feature Modulation toward Anatomy-Agnostic Segmentation

Covers (incoming)

newsPrompt-engineering paper accepted to ICML [R]newsPrompt Engineering Isn’t Enough: How Four Bricks of Context Engineering Stop RAG Hallucinations - Towards Data Science

Related across the graph

paperSimon-SR: Spatially Adaptive Modulation and Visual Prompt Adaptation for Text-Reinforced Super-Resolution newsRoast my 3-year roadmap: Pivoting from Python/BaaS to AI Infrastructure & Go (Graduating 2029) [D]paperObject Aligner: A Configurable JSON Schema Similarity Score for Graphs, Applied to LLM Prompt Optimization paperTowards Privacy-Preserving Federated Prompt Tuning under Data Heterogeneity: A Subspace-Decomposed Expert Approach paperCanopy: A Heterograph Foundation Model for Metabolic Engineering paperBayesPrompt: human readable prompts that make sense paperPC-Edit: Prompt-Contrastive Region Discovery and Region-Guided Editing paperParameter-efficient Prompt Tuning of Vision Foundation Model With Adaptive Focal Loss for Interpretable MCI Screening paperPrompt-Conditioned Channel Attention for Hierarchical Feature Modulation toward Anatomy-Agnostic Segmentation paperZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models paperPrompt-Adapter Context Routing for Parameter-Efficient Multi-Shot Long Video Extrapolation paperPGE-SAM: Prompt-Guided Feature Enhancement for Interactive Segmentation under Degradation paperPrompt Compression via Activation Aggregation newsHow're you deploying LLMs in production now-a-days? What's the best and most affordable way? [D]paperPrompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models paperLenGuard-GPC: Length Guarding with Guided-Prompt Consistency for Spatial Reasoning Reinforce Learning paperBayesPO: Bayesian Prompt Optimization via Parallel-Tempered Gradient-Guided Discrete MCMC toolPromptLab newsPrompt-engineering paper accepted to ICML [R]paperTuning the Stochastic Machine: A Systems Engineer's Operating Model for Human-AI Engineering paperCheap Code, Costly Judgment: A Case Study on Governable Agentic Software Engineering paperAn Introduction to Sparse Identification of Nonlinear Dynamics for Engineering Applications paperPartition, Prompt, Aggregate: Statistical Self-Consistency in Language Models newsIEEE Rolls Out Large Language Models Virtual Training Course newsA system-level approach to prompt injection: separating instruction and data channels in LLM agents [P]newsPrompt Engineering Isn’t Enough: How Four Bricks of Context Engineering Stop RAG Hallucinations - Towards Data Science

Topics

ai chain-of-thought chatgpt claude few-shot-learning genai generative-ai gpt in-context-learning langchain