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Offered By: IBMSkillsNetwork

Mastering Translations with Generative AI in PyTorch

You will learn step-by-step how to build a powerful translation model using transformers in PyTorch. From understanding the core concepts of transformer architecture to implementing the model from scratch, you'll explore the intricacies of attention mechanisms, positional encoding, and multi-head self-attention. With practical code examples and hands-on exercises, you'll gain the skills to preprocess data, train the model, and generate translations. By the end of this tutorial, you'll have the confidence to create your own translation models using transformers and unlock their potential.

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Guided Project

Artificial Intelligence

162 Enrolled
4.8
(18 Reviews)

At a Glance

You will learn step-by-step how to build a powerful translation model using transformers in PyTorch. From understanding the core concepts of transformer architecture to implementing the model from scratch, you'll explore the intricacies of attention mechanisms, positional encoding, and multi-head self-attention. With practical code examples and hands-on exercises, you'll gain the skills to preprocess data, train the model, and generate translations. By the end of this tutorial, you'll have the confidence to create your own translation models using transformers and unlock their potential.


A Look at the Project Ahead

In this engaging tutorial, you will dive into the fascinating world of translation models powered by transformers in PyTorch. Discover why this topic is crucial in the field of natural language processing and how it has revolutionized machine translation. By completing this project, you will gain valuable insights and practical skills to create your own translation models using state-of-the-art transformer architectures.

Learning Objectives:
  • Understand Transformer Architecture: Delve into the fundamental concepts behind transformers, including self-attention mechanisms, multi-head attention, and positional encoding. Gain a deep understanding of how transformers enable effective language modelling and translation.
  • Build a Translation Model from Scratch: Learn how to implement a translation model using PyTorch. Follow step-by-step instructions to preprocess textual data, design the transformer architecture, train the model using parallel computing, and fine-tune it for optimal translation performance.
  • Translate a PDF in German and Generate a PDF in English

What You'll Need

To embark on this guided project, you will need a solid foundation in Python programming and familiarity with PyTorch. Prior exposure to machine learning concepts, such as neural networks and sequence-to-sequence models, will be beneficial. The IBM Skills Network Labs environment provides pre-installed tools and libraries to ensure a seamless learning experience. 

Join us on this transformative journey as you unlock the power of transformers and embark on creating your very own translation models. Expand your skill set, gain practical experience, and become proficient in building advanced language translation systems using the cutting-edge techniques of transformer models in PyTorch. Let's get started!

Estimated Effort

2 Hours

Level

Intermediate

Skills You Will Learn

Artificial Intelligence, Deep Learning, Generative AI, LLM, PyTorch

Language

English

Course Code

GPXX0V61EN

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