Start working on the skills and understanding required to leverage the power of foundation models and solve real-world language processing problems efficiently. In this introductory course, AI Language Models and Foundation Models, you'll gain the ability to comprehensively understand these models and their evolution, and have one of your first hands-on experiences fine-tuning such a model. First, you'll explore the early models and evolution of AI language models, understanding their significance and how they have evolved into more complex foundation models. You'll delve into the inner workings of these models, grasping their strengths and weaknesses, and gaining insights into their practical applications. Next, you'll discover the real-world implications of AI language models and foundation models. Through case studies and examples, you'll witness their impact across various fields, highlighting their transformative capabilities in tackling language processing challenges. Finally, you'll learn how to fine-tune a pre-trained foundation model for specific tasks. Using Python and the Transformers library, you'll gain hands-on experience in fine-tuning a BERT model for sentiment analysis, equipping you with the practical skills to adapt foundation models to address real-world language processing problems. When you're finished with this course, you'll have the skills and knowledge of AI Language Models and Foundation Models needed to comprehensively understand these models, explore their real-world applications, and effectively fine-tune them for various language processing tasks. Get ready to embark on an exciting journey into the realm of AI language models and foundation models.
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