Module 3: Advanced LLMs – APIs, RAG, and Custom Workflows
Type: Intermediate technical workshop
Move beyond basic LLM usage by integrating models into customized research or workflow pipelines. This module will cover:
- Retrieval-Augmented Generation (RAG): using your own data to enhance LLM outputs
- Model selection: comparing Claude, GPT-4, Mistral, etc.
- Orchestration tools: LangChain, LlamaIndex, and other tools
- API best practices: for access and cost management
GenAI for Teaching:
- Automate parts of content creation or grading workflows
- Build internal knowledge retrieval tools for course materials
GenAI for Research:
- Develop RAG pipelines over lab documents, papers, or grant archives
- Perform domain-specific Q&A or data augmentation