Deep Learning NLP: Training GPT-2 from scratch

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En este proyecto guiado, tú:

Understand the history of GPT-2 and Transformer Architecture Basics

Learn the requirements for a custom training set

Learn how to use functions available in public repositories to fine-tune or train GPT-2 on custom data and generate text

Clock2 hours
BeginnerPrincipiante
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

In this 1-hour long project-based course, we will explore Transformer-based Natural Language Processing. Specifically, we will be taking a look at re-training or fine-tuning GPT-2, which is an NLP machine learning model based on the Transformer architecture. We will cover the history of GPT-2 and it's development, cover basics about the Transformer architecture, learn what type of training data to use and how to collect it, and finally, perform the fine tuning process. In the final task, we will discuss use cases and what the future holds for Transformer-based NLP. I would encourage learners to do further research and experimentation with the GPT-2 model, as well as other NLP models! Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que desarrollarás

Artificial Intelligence (AI)TensorflowMachine LearningNatural Language Processing

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Introducing GPT-2

  2. Intro to Transformers

  3. Gathering a Dataset

  4. Training and Fine Tuning our Model

  5. Use Cases and the Future

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

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