NirDiamant Prompt_Engineering
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
NirDiamant Prompt_Engineering scores 6.2/10 (Solid) in Prompt Libraries.
Kind Prompts Language Jupyter Notebook License Custom (see repo) Stars 7.7k★ Repo nirdiamant/prompt_engineering
Quality
Solid 6.2
Adoption 47
Activity 56
Maturity 89
Community 51
Capability 50
Show the math
Overall 6.2/10
value = 6.2/10
score = value
Adoption 5.2/10
value = 47.1/100
score = 1 + 9 * value / 100
Activity 6.1/10
value = 56.4/100
score = 1 + 9 * value / 100
Maturity 9/10
value = 88.5/100
score = 1 + 9 * value / 100
Community 5.6/10
value = 50.8/100
score = 1 + 9 * value / 100
Capability 5.5/10
value = 50/100
score = 1 + 9 * value / 100
Key metrics
7.7k★ GitHub stars
34/90d Recent commits
2 devs/90d Recent contributors
1.7y Project age
active Last commit
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No recognized open-source license is declared; using it commercially is legally ambiguous.
prompt-engineering tutorials notebooks techniques llm