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Introduction to Transformer-Based Natural Language Processing (NVIDIA) Course Overview

Introduction to Transformer-Based Natural Language Processing (NVIDIA) Course Overview

Introduction 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.

Course Level Intermediate

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Introduction to Transformer-Based Natural Language Processing (NVIDIA)

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