LlamaIndex: Enhancing Contextual AI Training Course
LlamaIndex is an open-source data framework engineered for applications leveraging Large Language Models (LLMs) that gain value from context augmentation. It is particularly effective for Retrieval-Augmented Generation (RAG) systems.
This instructor-led, live training (available online or onsite) targets intermediate-level AI researchers, machine learning professionals, and data scientists eager to utilise LlamaIndex to elevate AI model capabilities, ensuring greater accuracy and reliability across diverse applications.
Upon completion of this training, participants will be able to:
- Grasp the core principles and components of LlamaIndex.
- Ingest and structure data for integration with LLMs.
- Implement context augmentation to enhance AI model performance.
- Integrate LlamaIndex into existing AI systems and workflows.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation within a live-lab environment.
Customisation Options
- To request a customised training for this course, please contact us to arrange.
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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
- Fundamental 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
Open Training Courses require 5+ participants.
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