LlamaIndex: Developing LLM Powered Applications Training Course

Introduction to LlamaIndex

• Understanding LlamaIndex and its role in the LLM ecosystem.
• Setting up LlamaIndex: environment setup and prerequisites.
• Basics of indexing custom data.

LlamaIndex in Practice

• Querying with LlamaIndex: techniques and best practices.
• Building query and chat engines using LlamaIndex.
• Creating intuitive Streamlit interfaces for LLM applications.

Advanced LlamaIndex Capabilities

• Implementing retrieval-augmented generation (RAG) for superior data retrieval.
• Leveraging vector stores for efficient data management.
• Designing and implementing LlamaIndex agents.

Application Development with LlamaIndex

• Prompt engineering strategies: chain of thought, ReAct, and few-shot prompting.
• Developing a documentation assistant: a practical real-world LLM application.
• Debugging and testing LLM applications.

Deployment and Scaling

• Deploying applications built on LlamaIndex.
• Scaling LLM applications for high performance.
• Monitoring and optimizing LLM application performance.

Ethical and Practical Considerations

• Navigating ethical implications in LLM applications.
• Ensuring privacy and data security when using LlamaIndex.
• Preparing for future advancements in LLM technology.

Summary and Next Steps