LlamaIndex: Developing LLM Powered Applications Training Course

Introduction to LlamaIndex

• Comprehending LlamaIndex and its function within LLM ecosystems
• Preparing the environment and prerequisites for LlamaIndex
• Fundamentals of indexing custom data

LlamaIndex in Practice

• Techniques and best practices for querying with LlamaIndex
• Constructing query and chat engines using LlamaIndex
• Developing user-friendly interfaces for LLM applications via Streamlit

Advanced LlamaIndex Capabilities

• Utilizing retrieval-augmented generation (RAG) to improve data retrieval
• Harnessing vector stores for streamlined data management
• Designing and implementing agents within LlamaIndex

Application Development with LlamaIndex

• Prompt engineering strategies: chain of thought, ReAct, and few-shot prompting
• Building a practical documentation assistant: a real-world LLM use case
• Debugging and testing strategies for LLM applications

Deployment and Scaling

• Deploying applications built on LlamaIndex
• Scaling LLM applications for high-performance demands
• Monitoring and optimizing the performance of LLM applications

Ethical and Practical Considerations

• Addressing ethical implications in LLM applications
• Safeguarding privacy and data security with LlamaIndex
• Anticipating future trends in LLM technology

Summary and Future Pathways