Exploring Hugging Face!

After understanding my possible options for my original work last week, I decided to pursue multiple projects in natural language processing to understand multiple algorithms such as Recurrent Neural Networks (RNNs), Long Short Term Memory (LSTM) Models, and Transformer Models. Moreover, I want to practice the applications of these algorithms in machine translation, text style transfer, and text prediction. This way I plan to first update my skills in natural language processing and use my learnings from my original work to create a final product in the second semester of ISM.

This week, I look forward to exploring the Hugging Face library as it pertains to the topic of natural language processing directly as it outlines the steps to create Transformer models. I will check out some video tutorials as well as use any online course materials to understand Transformers and their implications with the library. I will also explore the ranging use cases on Hugging Face to see live implementations of pre-established models and improve my understanding of the library. As I start my original work, I will first understand the concepts behind algorithms, the libraries like Hugging Face that enable me to use the algorithms, and the implementation of natural language processing to solve real-world problems with hands-on projects.

So see you next week, same place, same time.