Foundations and Applications of Large Language Models

This lecture covers the essentials of Large Language Models (LLMs), delving into their foundational aspects and practical applications. Topics include an introduction to LLMs and the transformer architecture, their training processes, and their growing capabilities such as zero-shot learning. The session explores their applications in tasks like summarization and domain-specific customization, alongside emerging features seen in scaled AI models. With a focus on educational clarity, attendees...