The Python Show 52 - PyTorch and LLMs with Daniel Voigt Godoy
Jan 15, 2025
Daniel Voigt Godoy, an author and educator specializing in deep learning and PyTorch, shares insights from his journey in the tech world. He discusses his favorite Python packages, including PyTorch and Hugging Face, emphasizing their importance in machine learning. Daniel elaborates on his writing process, the shift to self-publishing, and the development of his new book on fine-tuning LLMs. He also provides tips for aspiring writers, encouraging originality and a conversational approach to teaching complex topics.
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From Programmer To Teacher And Author
- Daniel Voigt Godoy explained his career path from programming in Brazil to data science in Germany and now teaching and writing in Portugal.
- He transitioned careers via a bootcamp and now focuses on teaching and authoring technical books.
Ease Drives Tool Adoption
- Daniel prefers PyTorch because its API felt user-friendly and helped him get into deep learning quickly.
- He also values the Hugging Face ecosystem for consistent, stable APIs that simplify teaching and tutorials.
Experiment Freely With Hugging Face
- Use Hugging Face freely for experiments since its libraries and datasets are accessible without paying for infrastructure tiers.
- Pay only for private hosting or inference endpoints if you need production-level services.
