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Prompt Engineering Techniques · Awesome GitHub Repositories

3 repos

Awesome GitHub RepositoriesPrompt Engineering Techniques

Methodologies and strategies for structuring inputs to effectively guide and steer the output of generative models.

Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Prompt Engineering Techniques. Refine with filters or upvote what's useful.

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  • microsoft/generative-ai-for-beginners

    microsoft/generative-ai-for-beginners

    106,618GitHubView on GitHub↗

    This project is a comprehensive, open-source educational curriculum designed to guide developers through the mastery of generative artificial intelligence. It provides a structured learning path that covers foundational concepts, prompt engineering, and the practical application of large language models. The repository

    Jupyter Notebookaiazurechatgpt
  • nomic-ai/gpt4all

    nomic-ai/gpt4all

    77,146GitHubView on GitHub↗

    GPT4All is a cross-platform runtime environment designed to execute large language models directly on local consumer hardware. By leveraging an optimized C++ inference backend, it enables private, offline AI interactions without requiring an internet connection or external cloud services. The project provides a compreh

    C++ai-chatllm-inference
  • dair-ai/Prompt-Engineering-Guide

    dair-ai/Prompt-Engineering-Guide

    70,526GitHubView on GitHub↗

    This project is a comprehensive educational resource and knowledge base dedicated to the development and application of large language models and autonomous agentic systems. It provides a structured framework for understanding prompt engineering, context management, and the architectural patterns required to build task

    MDXagentagentsai-agents

Explore sub-tags

  • Automatic Reasoning and Tool-useTechniques that interleave chain-of-thought reasoning with external tool execution to solve complex multi-step tasks.
  • Directional Stimulus PromptingA technique using a secondary model to generate hints or stimuli that guide the primary model toward specific output goals.
  • Example-Based Prompting3 sub-tagsMethods that rely on providing context or demonstrations within the prompt, distinct from instructional or structural techniques by their reliance on input-output pairs.
Generated Knowledge Prompting
A technique where an LLM generates relevant information or knowledge before using it to inform a final prediction or response.
  • Graph PromptingTechniques for structuring graph-based data as prompts to improve model performance on downstream tasks.
  • Meta PromptingTechniques that focus on the structural and syntactical patterns of tasks rather than specific content.
  • Model SteeringTechniques for guiding model responses toward specific tones, styles, or formats using system instructions.
  • Prompting MethodologiesComparative analysis and theoretical frameworks for prompt design strategies.
  • Reasoning Chain Strategies2 sub-tagsTechniques that force models to articulate intermediate logical steps, differing from general prompting by focusing on the internal cognitive process of the model.