Among AI models, AI agent are gaining great traction. AI-Agents are autonomous and can operate without requiring human input. They can initiate action , make decisions based on predefined goals and adapt to new information in real time. This ability to act independently makes intelligent agents highly valuable in complex and dynamic environments.
The autonomous AI-agents work synergistically with LLMs and LAMs . The compound AI systems need what we call control logic programme. AI-agents assists us to control compound AI systems. They are autonomous and do need require human interaction.
They are indeed the next frontier of generative AI. They perform complex multistep tasks across the digital world. AI-agents can plan their action, use online tools to complete tasks, collaborate with other AI-agents and people and learn to improve performance. Generative AI works as smart and skilled co-worker of humans while AI-agents are also smart and skilled co-workers but they do not fully depend on human input. They learn and advance their performance through feedback using advanced algorithms and sensory imputes to execute tasks and engage with their environment.
Thus, given a task like booking an airline ticket , AI-agent can plan a travel and book the ticket handling complex travel logistic over multiple platforms. Just like LLMs respond to prompts and generate a solution, AI-agent can accomplish complex work-flows. We have open sourced AI-agents like Auto-GPT, Clippy, and DemoGPT.
A AI-agent take AI technology from being knowledge based to being action based. The next thing, therefore, we might see is the proliferation of AI-agents. This is because they unlock great power to automate a long tail of complex and highly variable inputs and outputs.
We can trace three important ways these generative AI automated AI systems work. They can manage multiplicity and adjust to changing dynamic situations. They are directed by natural language and work efficiently with existing tools and platforms on the internet. This means AI-agent can plan, allocate and execute tasks. Hence, at a no so distant future, AI-agents will have many functions that may take the place of humans in work places.
This displacing of humans might bring about a job-crises and may push us into a job-less economy. While we are embrace these new AI systems, we have cannot do away with the human element working alongside AI. Hence, we have embrace critical thinking , embrace process-centric approach that does not just focus on the final out-comes but stay with the process and stay agile to adopt to the fast changing scenario.
AI-agent will certainly change the way we work and live our life. They have a possibility of super charging productivity. The age of AI-agents will transform us and our world. They are still in the coming and we do have several challenges that have to resolved to unleash their full potentials. We still do not seem to have models that can entirely explain their outputs. They solve issues in unexpected ways. But there is nothing to stop them from entering our business, education, administrative, policing and judicial systems.
