Hands on NLP with Transformers

In this training, we will be exploring the new transformer architecture, which is widely regarded as the best approach for modern natural language processing (NLP) tasks. The focus of this training will be on the transformer's ability to process natural languages using attention. We will delve into various examples of how individuals and companies are utilizing transformers to solve a diverse range of NLP tasks, including conversation-holding, image captioning, and reading comprehension.

Throughout the training, we will provide code-driven examples for transformer-derived architectures like GPT, T5, Vision Transformer, and BERT. These case studies will draw inspiration from real-world use cases, ensuring practicality and relevance. To enhance our workflow efficiency, we will employ transfer learning techniques. Additionally, we will emphasize the use of actionable metrics to drive tangible results in our NLP projects.

By participating in this training, you will gain comprehensive knowledge and practical insights into transformers in NLP. Whether you are already familiar with transformers or new to the concept, this course offers valuable guidance to enhance your understanding and proficiency in utilizing transformers for natural language processing.