AI Language Models and Foundation Models

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.