Module 1: Overview of Generative AI in Retail - Duration: 1 Hour

1. 1. 1. Introduction to Generative AI
         • • Definition and core concepts
           • Evolution of AI technologies
           • Generative AI vs Traditional AI (Key differences and similarities)
      2. Historical Context in Retail
         • • How AI has evolved in retail
           • Case studies of early AI implementations in retail

Module 2: Retrieval-Augmented Generation (RAG)

1. 1. 1. Detailed exploration of RAG
         • • Architecture
           • Application in retail
           • RAG-based use cases
           • Graph RAG

Module 3: Model Architecture in Detail

1. 1. 1. LLAMA 3.1 Architecture
         • • Components and innovations
           • Applications of LLAMA in generative tasks

Module 4: Model Training

1. 1. 1. Training Generative AI Models
         1. • Overview of model training processes
            • Data preparation
            • Challenges and best practices

Module 5: Model Fine-Tuning

1. 1. 1. Fine-Tuning Generative Models
         • • Techniques for fine-tuning
           • Case studies of model adaptation for retail

Module 6: Model Deployment

1. 1. 1. Deploying AI Models
         1. • Strategies for deploying generative AI in production
            • Factors involved in deployment