Center for Data Science and Artificial Intelligence Workshop: Module 3, Advanced LLMs – APIs, RAG, and Custom Workflows

Content

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