Uploaded April 2025 | Updated September 2026, 2 weeks ago
We dive into prompt repositories, your cheat code for bypassing LLM context limits, and OS-inspired memory management systems that treat logs/telemetry (like LangTrace) as “virtual memory” for smarter, leaner workflows.
Learn how to dynamically inject task-specific prompts (e.g., “debugging API errors”) during inference, and why hierarchical storage is the future of scalable agents. Real-world examples include customer support bots pulling pre-vetted scripts and DevOps agents referencing past deployment logs to dodge repeat failures. If you’re building AI agents that actually work, this is your playbook!
#AIAgents #MemoryManagement #PromptEngineering #RAG #LangChain #AIOps #TechTips #AIInnovation
Where else to find us:
linkedin.com/in/amirfzpr
aisc.substack.com
youtube.com/@ai-science
https://lu.ma/aisc-llm-school
maven.com/aggregate-intellect
We dive into prompt repositories, your cheat code for bypassing LLM context limits, and OS-inspired memory management systems that treat logs/telemetry (like LangTrace) as “virtual memory” for smarter, leaner workflows.
Learn how to dynamically inject task-specific prompts (e.g., “debugging API errors”) during inference, and why hierarchical storage is the future of scalable agents. Real-world examples include customer support bots pulling pre-vetted scripts and DevOps agents referencing past deployment logs to dodge repeat failures. If you’re building AI agents that actually work, this is your playbook!
#AIAgents #MemoryManagement #PromptEngineering #RAG #LangChain #AIOps #TechTips #AIInnovation
Where else to find us:
linkedin.com/in/amirfzpr
aisc.substack.com
youtube.com/@ai-science
https://lu.ma/aisc-llm-school
maven.com/aggregate-intellect
