Description:

This course is dedicated to diving deep into the fine-tuning techniques for transformer models such as T5, BERT, and GPT, using the Hugging Face library. Participants will learn how to optimize transformer architectures for various NLP tasks, including text summarization. The course covers advanced concepts in transformer architecture customization and practical implementation tips.

Key Highlights:

• Optimize transformer models for NLP tasks
• Fine-tune T5, BERT, and GPT models
• Practical implementation using Hugging Face library

What you will learn:

• Enhanced Understanding of Transformer Architecture
  Gain an in-depth knowledge of transformer architecture customization and optimization techniques.
• Fine-tuning Techniques for T5, BERT, and GPT Models
  Learn how to fine-tune state-of-the-art transformer models for specific NLP tasks.
• Practical Implementation with Hugging Face Library
  Get hands-on experience in fine-tuning transformers using the popular Hugging Face library.