repoGitHubTrust 82 · PrimaryPublished 3d agoLive · 3d ago
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).
Related to
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
Related across the graph
newsRoast my 3-year roadmap: Pivoting from Python/BaaS to AI Infrastructure & Go (Graduating 2029) [D]newsHow're you deploying LLMs in production now-a-days? What's the best and most affordable way? [D]toolPromptLabnewsIEEE Rolls Out Large Language Models Virtual Training CoursenewsA system-level approach to prompt injection: separating instruction and data channels in LLM agents [P]
