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.
Course Outline
Introduction to LlamaIndex and Context Augmentation
- Overview of LlamaIndex
- The role of context augmentation in AI
- Benefits of using LlamaIndex with LLMs
Setting Up LlamaIndex
- Installation and configuration
- Understanding the architecture and components
- Data connectors and ingestion
Data Indexing and Access
- Creating data indexes for efficient access
- Query engines and natural language access
- Best practices for data structuring
Integrating LlamaIndex with LLMs
- Enhancing LLMs with contextually relevant data
- Practical exercises: Augmenting chatbots and text generators
- Troubleshooting and optimization
Application Scenarios and Case Studies
- Use cases in various industries
- Review of successful implementations
- Building a context-augmented AI solution
Summary and Next Steps
Requirements
- Basic understanding of AI and machine learning concepts
- Familiarity with Large Language Models (LLMs)
- Experience with programming and data handling
Audience
- AI researchers
- Machine learning professionals
- Data scientists
14 Hours
Related Courses
LangChain Fundamentals
14 Hours
Introduction to Google Gemini AI
14 Hours
Google Gemini AI for Data Analysis
21 Hours
LLMs for Automated Customer Support
14 Hours
LLMs for Business Intelligence
14 Hours
LLMs for Content Generation
14 Hours
Advanced LLMs for NLP Tasks
21 Hours
LLMs for Personalized Education
14 Hours