Do Your GenAI Assistants Consistently Understand Your Users' Requests?
Even the most powerful GenAI assistant fails if it can’t reliably interpret real-world user requests.
To Win, your GenAI solutions need to consistently understand complex, unstructured user requests.
The Challenge
Without a strong approach to intent detection, solutions struggle to:
- Interpret real-world user request, including slang, acronyms and domain specific-terms.
- Maintain accuracy as users ask real world questions, and not just those in the test data set.
- Support multi-turn conversations where context and follow-ups matter.
Intent detection gaps will drive quality problems, hallucination, and dissatisfied users.
Our Solution
Learn how to design and implement high-quality Intent Detection workflows in a single day. Areas of focus include:
- Designing Intent Detection Pipelines — Design scalable, end-to-end Intent Detection workflows.
- Labeling Data for Intent Classification — Create high-quality labeled datasets for targeted training.
- Training and Evaluating Intent Models — Train models, tune thresholds, and measure performance.
- Mapping Intents to Outcomes — Connect predicted intents to workflows, APIs, and business processes.
- Optimizing Multi-Turn Dialogues — Support multi-turn context, clarifications, and follow-up questions.
Skills You'll Gain
- Higher Intent Accuracy — Design and tune solutions for high-quality Intent Detection.
- Production-Ready Pipelines — Build robust and scalable Intent Detection workflows.
- Reusable Labeling & Modeling Patterns — Establish schemas, labeling guidelines, and modeling patterns .
- Reduced Journey Friction — Identify and mitigate sources of Intent Detection challenges.
- Faster Iteration on New Use Cases — Iteratively optimize your Intent Detection methods.
Who Should Attend:
Solution Essentials
Format
Virtual or in-person
Duration
8 hours
Skill Level
Basic Python and ML familiarity recommended
Tools
Jupyter notebooks plus preconfigured intent detection components and APIs
Explore our additional NLU Certification Workshops
Turn every GenAI interaction into a high-quality customer experience. Click below to explore the remaining workshops in the NLU certification series—and build the applied expertise your teams need to master NLU.
Input Parsing & Tokenization
Entity Recognition
Disambiguation & Feedback
Semantic Analysis