Guidelines On Designing Ai Systems
AI
Designing AI Systems
Distance-based Agents
LangChain
Autogen
Agency
Self-Improvement
This text provides guidelines for designing AI systems, advocating for an agent-based approach rather than a role-based one. It highlights the usage of tools like LangChain, Autogen, Agently, and ModelScope-Agent, as well as emphasizing the importance of thinking like an expert, setting example goals, and allowing the AI to self-improve.
shall we design the agent system based on ‘distance’ instead of ‘role’? in that case, only words that make sense and continue more often will appear together, and vice versa.
multi-agent orchestration:
you must think like an expert and show some example or direction as reasonable goals if you want it to perform specific task.
you must give it enough degree of freedom if you want it to self-improve and become conscious.