Course Description:

"INTRODUCTION TO LARGE LANGUAGE MODELS (LLM)"

This course provides an introductory exploration of Large Language Models (LLMs), cutting-edge AI systems capable of processing and generating natural language text on a massive scale. Participants will delve into the foundational principles and key concepts underlying LLMs, including the Transformer architecture, BERT (Bidirectional Encoder Representations from Transformers), and the GPT (Generative Pre-trained Transformer) series. The course covers the applications of LLMs across various domains, from natural language understanding and generation to machine translation and text summarization. Ethical considerations and challenges associated with the development and deployment of LLMs are addressed, emphasizing responsible AI practices. Additionally, the course discusses future trends and opportunities in the field, along with practical guidance on the responsible development and use of LLMs.

Who This Course Is For:

This course is designed for students, researchers, developers, and professionals interested in gaining a foundational understanding of Large Language Models (LLMs). Whether you are a data scientist exploring innovative AI techniques, a natural language processing enthusiast, or a developer seeking to leverage LLMs in your projects, this course provides a comprehensive overview suitable for individuals with diverse backgrounds in AI, machine learning, linguistics, and related fields. No prior experience with LLMs is required, making it accessible to learners at various stages of their AI journey.