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We're here to help you find itIntroduction to Transformer Based Natural Language Processing (NVIDIA) Course
Unlock the power of transformer-based large language models (LLMs) with our comprehensive Introduction to Transformer Based Natural Language Processing (NVIDIA) course. Over 8 hours, you'll explore how Transformers serve as the foundation for modern LLMs, enabling you to tackle various NLP tasks effectively. By the end, you'll master practical applications like text classification, named-entity recognition (NER), author attribution, and question answering.
Learning Objectives:
- Grasp how Transformers function as the core of modern LLMs.
- Utilize pre-trained LLMs to manipulate, analyze, and generate text.
- Apply Transformer-based models to solve key NLP tasks.
Equip yourself with the skills to create interactive, human-like AI applications that revolutionize user experiences.
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
To ensure you have the best learning experience in our "Introduction to Transformer Based Natural Language Processing (NVIDIA)" course, it is important to have a foundational understanding in the following areas:
Basic Understanding of Deep Learning Concepts: Familiarity with the core principles of deep learning, including neural networks, backpropagation, and optimization techniques.
Basic Understanding of Language Modelling and Transformers: Basic knowledge of NLP concepts such as tokenization, embeddings, and an introductory understanding of Transformer architecture, including mechanisms like attention.
These prerequisites are designed to prepare you for the advanced concepts covered in the course without overwhelming beginners. If you have a fundamental grasp of these areas, you will be well-equipped to undertake this training successfully.
The "Introduction to Transformer Based Natural Language Processing" course by NVIDIA is designed for individuals with a basic understanding of deep learning and language modelling, focusing on using Transformers in modern NLP tasks.
Brief Introduction: The "Introduction to Transformer Based Natural Language Processing (NVIDIA)" course offers an 8-hour deep dive into leveraging Transformers to build and deploy powerful NLP applications for tasks like text classification, named-entity recognition (NER), author attribution, and question answering.
Learning Objectives and Outcomes:
