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

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Published inFeb 2024
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PublisherPackt
ISBN-139781805128724
Edition3rd Edition
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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.
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From task-specific SRL to emergence with ChatGPT

We have seen that OpenAI’s ChatGPT with GPT-4 has taken LLMs further for various tasks, including SRL. Thus, general-purpose LLMs do not necessarily need to learn syntax explicitly. They don’t need to learn the rules and principles of syntax that explain how to form phrases, clauses, and sentences. They can explain sentences with and beyond SRL.

We have gone through the main aspects of SRL in this chapter with several examples. This section will focus on running GPT-4 through the API to explore its ability to perform SRL without explicitly being trained for this task.

Open Semantic_Role_Labeling_GPT-4.ipynb in the directory of this chapter in the GitHub repository.

We will first install and import OpenAI.

1. Installing OpenAI

The program updates pip and installs OpenAI:

!pip install --upgrade pip
#Importing openai
try:
  import openai
except:
  !pip install openai -qq
  import openai
from openai...
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Transformers for Natural Language Processing and Computer Vision - Third Edition
Published in: Feb 2024Publisher: PacktISBN-13: 9781805128724

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