Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to LlamaIndex and Context Augmentation
- Overview of LlamaIndex
- The significance of context augmentation in AI
- Advantages of employing LlamaIndex with LLMs
Setting Up LlamaIndex
- Installation and configuration procedures
- Understanding the architecture and key components
- Data connectors and data ingestion methods
Data Indexing and Access
- Creating data indexes for efficient retrieval
- Utilizing query engines and natural language access
- Best practices for organizing and structuring data
Integrating LlamaIndex with LLMs
- Enhancing LLMs with contextually relevant data
- Practical exercises: Augmenting chatbots and text generation tools
- Troubleshooting and performance optimization
Application Scenarios and Case Studies
- Use cases across various industries
- Review of successful implementation examples
- Developing a context-augmented AI solution
Summary and Next Steps
Requirements
- Foundational knowledge of AI and machine learning concepts
- Familiarity with Large Language Models (LLMs)
- Experience in programming and data management
Target Audience
- AI researchers
- Machine learning professionals
- Data scientists
