Part 9/14:

• Single-minded agents: Building agents focused on one specific task to increase reliability.

• Humans in the loop: Continuous oversight, validation, and feedback to improve agent performance.

• Contextual grounding: Ensuring agents operate within appropriate enterprise environments to avoid hallucinations or biases.

Ragu highlights that guardrails are crucial to prevent hallucinations or unintended behaviors, and deterministic approaches should be prioritized where possible, resorting to probabilistic agents only when necessary.

Challenges and Future Outlook

Deploying agentic AI at scale involves hurdles:

• Bias and fairness: Ensuring agents do not reinforce biases or make unfair decisions.