ksm26/Prompt-Engineering-with-Llama-2
The course provides guidance on best practices for prompting and building applications with the powerful open commercial license models of Llama 2.
ORIGINAL REPOSITORY
ksm26/Prompt-Engineering-with-Llama-2 ↗GitHub activity
- Stars
- 15
- Forks
- 11
- Open issues and PRs
- 0
- Repository size
- ~2,468 KB
- Default branch
- main
- Created
- Mar 9, 2024
- Repository updated
- Aug 1, 2026
- Last push
- Mar 27, 2024
- Language
- Jupyter Notebook
Topics advanced-prompting-models · ai-applications · chain-of-thought-prompting · code-llama · few-shot-prompting · industry-standards · language-models · llama-2 · llama-guard · llm-interaction · meta-llama-2-chat · natural-language-processing
Repository-wide figures from GitHub, checked Nov 4, 2026. Stars are endorsements, not a Mega AI Hub quality rating. Repository size is GitHub’s estimate; a ZIP download may differ.
Resource information
- Topics
- advanced-prompting-models, ai-applications, chain-of-thought-prompting, code-llama, few-shot-prompting, industry-standards, language-models, llama-2, llama-guard, llm-interaction, meta-llama-2-chat, natural-language-processing, open-commercial-license, prompt-engineering, prompt-engineering-models, responsible-ai, responsible-ai-techniques, safe-ai
- Original repository
- ksm26/Prompt-Engineering-with-Llama-2
- Credit basis
- GitHub repository owner or organization; individual authorship is not asserted
- Publisher
- ksm26
- Upstream last modified
- Aug 1, 2026
- Official website
- https://github.com/ksm26/Prompt-Engineering-with-Llama-2
- Languages
- Jupyter Notebook
- Access
- Open original GitHub repository; publisher terms apply
- Last checked
- Nov 4, 2026
- License
- Not specified
- Last record update
- Nov 4, 2026