Generating High-Quality GenAI Responses Certification Series
Fact-Checking & Data-Aware Response Generation
Workshop
Do your GenAI assistants reliably produce factually correct, defensible answers?
Fact-checking and data-aware response generation is foundational for copilots in critical workflows, but naive reliance on model output quickly leads to brittle, error-prone systems.
To win, your GenAI solutions need to generate accurate, defensible responses grounded in real data.
The Challenge
Without a strong approach to fact-checking and data-aware response generation, teams struggle to:
- Ad Hoc Verification — Rely on model confidence and intuition instead of systematic checks and evidence.
- Weak Data Grounding — Struggle to wire retrieval and grounding into flows so answers stay tied to real documents and data.
- Limited Evaluation & Oversight — Lack clear metrics, tests, and loops to detect subtle hallucinations and drift.
Fact-checking gaps will drive hallucinations, erode trust, and increase operational and compliance risk.
Our Solution
In this hands-on workshop, your team designs, tests, and refines fact-checking workflows and data-aware response patterns using curated notebooks, enterprise-like corpora, and guided labs. Areas of focus include:
- Reasoning & Feedback Loops — Design iterative reasoning patterns that re-check and refine answers before they reach users.
- Verification & Grounding Modules — Build components that cross-check outputs against trusted sources and surface supporting evidence.
- Context & Agent Memory Management — Manage retrieved context and memory so responses remain accurate, coherent, and auditable.
- Interactive Labs & Notebooks — Explore how grounding and verification change responses in real time.
- Capstone & Live Coaching — Assemble an end-to-end data-aware response flow for a priority use case with expert feedback.
Skills You'll Gain
- Grounded Response Design — Engineer responses that stay anchored in verifiable, traceable evidence.
- Systematic Verification & QA — Implement reasoning loops, checks, and metrics to catch issues before users do.
- Governance-Ready GenAI — Align responses with enterprise standards for truthfulness, risk, and compliance.
- Issue Diagnosis & Remediation — Identify subtle hallucinations and inconsistencies and fix them with structured patterns.
- Reusable Fact-Checking Frameworks — Build templates and components you can reuse across assistants and projects.
Who Should Attend:
Solution Essentials
Format
Virtual or in-person
Duration
4 Hours
Skill Level
Familiarity with basic GenAI concepts and APIs recommended
Tools
Jupyter-style notebooks or equivalent, plus access to a GenAI model and retrieval or data layer
Explore the Remaining Responses Certification Workshops
Help your teams rapidly explore GenAI Response Generation best practices. Click below to explore the remaining workshops in Generating High Quality GenAI Responses series.
Prompting & Model Strategies for High-Quality Responses
Response Post-Processing & Output Control
Enhanced Formatting & Multimedia Response Generation