LLM Use Cases & Integration Patterns
A working session that equips product, engineering, and innovation teams with the practical integration patterns and evaluation methods for large language models.
- For
- Product, engineering, and innovation teams
- Duration
- 2–4 hours
- Deliverable
- Integration pattern cheat sheet + use case ideation template
- Format
- Online (Zoom) or in-person
How LLMs work (non-technical) RAG, copilots, document search, summarization Prompt engineering concepts Evaluation: accuracy, hallucination, user trust
Most teams have experimented with large language models; fewer have learned to match the right pattern to the right problem. This session addresses that gap, treating LLM adoption as an engineering and evaluation discipline rather than a matter of trial and error.
What the session covers
- How large language models work, explained without technical prerequisites
- The principal integration patterns: retrieval-augmented generation, copilots, document search, and summarization
- The foundations of prompt engineering
- Evaluation of accuracy, hallucination, and user trust
Participants leave with an integration-pattern reference their team can apply directly, together with a template for structured use-case ideation.