- Build AI assistants using LLMs, APIs, and RAG.
- Implement multi-step task decomposition and planning.
- Integrate assistants with external tools for real-world functionality.
- Evaluate assistants for accuracy, reliability, and safety.
- Apply knowledge to business, education, coding, and research use cases.
