A Deep Dive into Agent-Based Response Refinement for High-Quality GenAI Responses
Agent-based response refinement introduces structured control over feedback, clarification, and iteration, but poorly designed pipelines can amplify drift and hallucination. This workshop examines how agent pipelines refine answers to improve specificity, coherence, and reliability.
To win, your GenAI solutions must use agent-based refinement pipelines that incorporate feedback, handle clarification, and actively reduce drift and hallucination.
When response refinement is ad hoc or implicit, teams encounter recurring failures:
- Unstructured refinement flows: Responses are generated once, with no agent pipeline to iteratively improve or correct them.
• Lost feedback and clarification: User feedback and follow-up questions are not incorporated into response generation in a systematic way.
• Quality decay over time: Long or multi-step responses drift, lose specificity, or hallucinate details.
These weaknesses result in inconsistent answers, frustrated users, and reduced trust in GenAI outputs.
In this hands-on workshop, your team designs and evaluates agent-based pipelines that refine GenAI responses through structured interaction.
- Design agent pipelines dedicated to response refinement and quality control.
• Incorporate explicit feedback signals into iterative response generation.
• Handle user clarification and follow-up through agent coordination patterns.
• Improve answer specificity by assigning focused refinement roles to agents.
• Reduce drift and hallucination in long responses using staged refinement techniques.
Designing Agent Pipelines for Response Refinement
Incorporating Feedback into Response Generation
Handling User Clarification and Follow-Up
Improving Answer Specificity via Agents
Reducing Drift and Hallucination in Long Responses
• Design agent pipelines that iteratively refine GenAI responses.
• Integrate feedback signals into response generation workflows.
• Manage clarification and follow-up without restarting conversations.
• Improve answer specificity through agent-driven refinement.
• Apply techniques that reduce drift and hallucination in long responses.
Who Should Attend:
Solution Essentials
Virtual or in-person
4 hours
Intermediate to advanced
Agent frameworks, GenAI pipelines, and response evaluation environments