Dynamic Prompting and Retrieval Techniques
0Master the art of dynamic prompt engineering for AI agents! Learn how to slice prompts into modular components, retrieve the exact instructions needed in real time (even for latency-sensitive apps), and fuse them into precision workflows.
We’ll break down how to categorize prompts by action type and user intent for surgical context injection. Plus, explore memory hacks: store conversational histories, past workflows, and user preferences in a “virtual memory” layer, retrieving them just-in-time without blowing your context window.
#DynamicPrompting #AIAgents #RealTimeAI #PromptEngineering #LLMOptimization #MemoryManagement #AIOps #AIInfrastructure #TechHacks
Where else to find us:
https://www.linkedin.com/in/amirfzpr/
https://aisc.substack.com/
/ @ai-science
https://lu.ma/aisc-llm-school
https://maven.com/aggregate-intellect/
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