LLM Tutorial - Introduction to Language Models, Prompt Engineering, and Encoder-Decoder Architectures

Learn the fundamentals of Large Language Models through this comprehensive tutorial covering key concepts from limitations and hallucinations to advanced prompt engineering techniques. Explore the critical challenges of LLM reliability, including how models can generate incorrect or fabricated information, and discover strategies to mitigate these issues. Master prompt engineering through two detailed segments that teach you how to craft effective prompts for optimal model performance. Dive deep into the architecture of generative AI systems, focusing on decoder models and the GPT family, understanding how these models generate text and their underlying mechanisms. Examine encoder models with a particular focus on BERT, learning how these models process and understand language for various natural language processing tasks. Gain a solid foundation in language model architectures, comparing encoder-decoder frameworks and understanding when to apply different model types for specific use cases.