LlamaIndex: Developing LLM Powered Applications Training Course

Introduction to LlamaIndex

• Exploring LlamaIndex and its significance within the LLM ecosystem.
• Preparing the development environment and meeting prerequisites for LlamaIndex.
• Fundamentals of indexing proprietary data.

LlamaIndex in Practice

• Techniques and best practices for executing queries with LlamaIndex.
• Developing robust query and chat engines using LlamaIndex.
• Building user-friendly Streamlit interfaces for LLM-based applications.

Advanced LlamaIndex Capabilities

• Utilizing Retrieval-Augmented Generation (RAG) to improve data retrieval accuracy.
• Optimizing data management through vector stores.
• Architecting and implementing autonomous LlamaIndex agents.

Application Development with LlamaIndex

• Prompt engineering strategies: chain-of-thought, ReAct, and few-shot prompting.
• Creating a documentation assistant as a practical LLM application example.
• Techniques for debugging and testing LLM applications.

Deployment and Scalability

• Deploying applications built on LlamaIndex.
• Scaling LLM applications to ensure high performance.
• Monitoring systems and optimizing LLM application performance.

Ethical and Practical Perspectives

• Addressing the ethical implications of LLM implementations.
• Safeguarding privacy and data security when using LlamaIndex.
• Staying ahead of upcoming advancements in LLM technology.

Wrap-up and Future Pathways