Understanding Large Language Models: Concepts and Applications

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This lecture explores Large Language Models (LLMs), introducing their definition, advancements, and comparison with earlier NLP approaches. Fundamental concepts, including pretraining, fine-tuning, and self-attention in transformers, are examined. Applications range from summarization to chatbots and specialized fields like medicine. Challenges such as computational demands and emergent properties are addressed alongside the benefits of task-specific tailoring. Key aspects of building LLMs,...