52 - PyTorch and LLMs with Daniel Voigt Godoy

About this episode

In this episode, Daniel Voigt Godoy discusses PyTorch, book writing, and his favorite Python packages.

In today’s podcast, we welcome Daniel Voigt Godoy to the show. Daniel is the author of Deep Learning with PyTorch Step-by-Step among other books. We chatted about the following topics: * Favorite Python packages * PyTorch * Book writing * and so much more! Be sure to check out the links section to learn more about Daniel! Links * The binary cross-entropy post: https://towardsdatascience.com/understanding-binary-cross-entropy-log-loss-a-visual-explanation-a3ac6025181a * The PyTorch post: https://medium.com/towards-data-science/understanding-pytorch-with-an-example-a-step-by-step-tutorial-81fc5f8c4e8e * Daniel’s new LLM book: https://leanpub.com/finetuning * Daniel’s books on Amazon Get full access to The Python Show at www.pythonshow.com/subscribe

People in this episode

Host: Learning about Python together

Guest: Daniel Voigt Godoy

Topics covered

• PyTorch
• Deep Learning
• Book Writing
• Python Packages
• Large Language Models

Keywords

• PyTorch
• Deep Learning
• Python
• LLMs
• Daniel Voigt Godoy

Mentioned in this episode

Organizations: Towards Data Science, Medium, Amazon

Books & works: Deep Learning with PyTorch Step-by-Step, finetuning

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