Learn fundamental concepts and technologies powering modern generative AI systems in a 19-minute tutorial that breaks down complex technical terminology into digestible explanations. Explore essential topics including pre-training, fine-tuning, adapter tuning, PEFT-LoRA, QLoRA 4bit, flash attention, and pagedattention. Master key techniques like instruction tuning, in-context learning, Chain of Thought (CoT), and explanation tuning. Gain insights into advanced concepts such as non-linear data structures, graph data, Graph Machine Learning, and Causal AI systems used in training datasets for generative AI models like ChatGPT and GPT-4. Navigate through carefully organized sections covering introduction, pre-training, fine-tuning, prompt engineering, AI agents, and data structures to build a comprehensive understanding of generative AI fundamentals.