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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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WandB

WandB has advanced AI tracking capabilities. Imagine the future. Imagine that one day, OpenAI GPT-4 can understand WandB tracking information on its activity, such as the Auto-Big-bench.ipynb notebook. Once AI can do that, the door to functional AGI is wide open!

Open WandB_Prompts_Quickstart.ipynb from the chapter’s repository.

The notebook is self-explanatory. You will need a WandB key and an OpenAI key, as we saw in Chapter 8, Fine-Tuning OpenAI GPT Models.

You can run the notebook and follow the instructions to see how WandB can track OpenAI and LangChain activity.

Let’s focus on the following cell:

tool_span.add_named_result({"input": "search: google founded in year"}, {"response": "1998"})
chain_span.add_named_result({"input": "calculate: 2023 - 1998"}, {"response": "25"})
llm_span.add_named_result({"input": "calculate: 2023 - 1998", "...
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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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