Deep Learning - Large Language Models - Lecture 6

Explore the fundamentals and applications of Large Language Models in this comprehensive lecture that delves into the architecture, training methodologies, and practical implementations of modern LLMs. Learn about transformer-based architectures, attention mechanisms, and the mathematical foundations underlying these powerful AI systems. Discover how LLMs process and generate human-like text, understand the training processes including pre-training and fine-tuning techniques, and examine real-world applications across various domains. Gain insights into the challenges and limitations of current LLM technology, including issues related to bias, hallucination, and computational requirements. Understand the evolution from early language models to contemporary systems, and explore the impact of LLMs on natural language processing, content generation, and human-computer interaction.