The Building Blocks of Gen AI

This presentation provides an in-depth exploration of the essential concepts, technologies, and techniques in generative AI. Attendees will learn about the progression from traditional machine learning to advanced foundation models using transformer architecture and self-attention mechanisms. The session covers foundation models, vector embeddings, and customization techniques such as fine-tuning, continued pre-training, and retrieval augmented generation (RAG). Practical implementation insights using Amazon Bedrock and AWS services will be shared, making generative AI accessible to developers. Through a blend of theoretical explanations and code examples, participants will gain a robust understanding of generative AI and how to apply it in their projects.