Prompt_Engineering
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
Category
AI Education
Quality
85/100
Primary source
GitHub
What is Prompt_Engineering?
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
Key features
Best fit
Why consider it
- Prompt_Engineering is categorized for ai education workflows and tagged with Tutoring, Research, Notes.
- The public repository has 7,640 stars, which gives buyers and builders an extra adoption signal.
- License metadata is available: NOASSERTION.
Source & verification
- Verified on Jun 27, 2026 from public source metadata.
- Primary reference: github.com.
- Repository freshness signal: last commit Jun 17, 2026.
Alternative tools
Extracted system prompts from Anthropic - Claude Fable 5, Opus 4.8, Claude Code, Claude Design. OpenAI - ChatGPT 5.5 Thinking, GPT 5.5 Instant, Codex. Google - Gemini 3....
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Related tools
Extracted system prompts from Anthropic - Claude Fable 5, Opus 4.8, Claude Code, Claude Design. OpenAI - ChatGPT 5.5 Thinking, GPT 5.5 Instant, Codex. Google - Gemini 3....
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.