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You're reading from  Transformers for Natural Language Processing and Computer Vision - Third Edition

Product typeBook
Published inFeb 2024
Reading LevelN/a
PublisherPackt
ISBN-139781805128724
Edition3rd Edition
Languages
Python
Tools
PyTorch
Concepts
Deep Learning
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Author (1)
Denis Rothman
Denis Rothman
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Denis Rothman

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive Natural Language Processing (NLP) chatbots applied as an automated language teacher for Moet et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an Advanced Planning and Scheduling (APS) solution used worldwide.
Read more about Denis Rothman

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Getting Started with the GPT-4 - API

OpenAI has some of the most powerful transformer engines in the world. One GPT-4 model can perform hundreds of tasks. GPT-3 can do many tasks it wasn't trained for.This section will use the API in Getting_Started_GPT_4_API.ipynb.To use a GPT-3, go to OpenAI's website, https://openai.com/, and sign up.We can run the examples provided by OpenAI to get started. We are once again relying on assistants.

Running our first NLP task with GPT-4

Let's start using GPT-3 in a few steps.Go to Google Colab and open Getting_Started_GPT_4_API.ipynb, which is the chapter directory of the book on GitHub.You do not need to change the hardware settings of the notebook. We are using an API, so we will not need much local computing power for the tasks in this section.The steps of this section are the same ones as in the notebook.Running an NLP is done in three simple steps:

Steps 1: Installing OpenAI and Step 2: Entering the API key

Steps 1 and 2 are the...

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Transformers for Natural Language Processing and Computer Vision - Third Edition
Published in: Feb 2024Publisher: PacktISBN-13: 9781805128724
© 2024 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Denis Rothman

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive Natural Language Processing (NLP) chatbots applied as an automated language teacher for Moet et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an Advanced Planning and Scheduling (APS) solution used worldwide.
Read more about Denis Rothman

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