Great post on the future of AI Agents. https://lnkd.in/dpzJ6GhS
Senior Machine Learning Engineer | AI/ML Consultant | AI Career Coach | Stanford ML | Helping Businesses Build Next Gen AI Software
The future of AI is Agentic - Let's learn the basics of Traditional Assistants vs Single-Agent Assistants vs Multi-agent assistants 𝟭/ 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 – They rely on rule-based logic and predefined action paths to solve straightforward tasks. ▪️ Operate on “if X, then do Y” rules. ▪️ Offer limited flexibility once requirements change. ▪️ Follow strictly outlined workflows. 𝟮/ 𝗦𝗶𝗻𝗴𝗹𝗲-𝗔𝗴𝗲𝗻𝘁 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 – They manage more complex tasks (like booking flights) but face limitations as tasks scale. ▪️ Handle the full task end-to-end on their own. ▪️ Performance and responsiveness may suffer when scope expands. ▪️ Provide minimal user control over the reasoning process. 𝟯/ 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 – They leverage multiple specialized agents working together for greater efficiency and adaptability. ▪️ Distribute tasks among domain-specific mini-assistants (e.g., planner, flight booker, hotel booker). ▪️ Collaborate and share data to optimize outcomes. ▪️ Allow flexible architectures—network, hierarchical, supervisory, or custom. This shift from rigid rule-based systems to adaptive multi-agent architectures is defining the next future of automation. ____ If your company is looking for an AI consultant to accelerate business growth, or if you are looking to build your career in AI, send me a message and I can help