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LLMs-from-scratch/ch04/02_performance-analysis
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Daniel Kleine 81c843bdc0
minor fixes (#246) 
* removed duplicated white spaces

* Update ch07/01_main-chapter-code/ch07.ipynb

* Update ch07/05_dataset-generation/llama3-ollama.ipynb

* removed duplicated white spaces

* fixed title again

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Co-authored-by: Sebastian Raschka <mail@sebastianraschka.com>
2024-06-25 17:30:30 -05:00
..
flops-analysis.ipynb
minor fixes (#246)
2024-06-25 17:30:30 -05:00
previous_chapters.py
fixed num_workers (#229)
2024-06-19 17:36:46 -05:00
README.md
flops analysis
2024-05-23 20:35:41 -05:00
requirements-extra.txt
flops analysis
2024-05-23 20:35:41 -05:00

README.md

Chapter 4: Implementing a GPT Model from Scratch To Generate Text

  • flops-analysis.ipynb analyses the floating point operations per second (FLOPS) of the GPT model(s) implemented in the main chapter.
  • previous_chapters.py is a Python module containing the GPTModel code we implemented in chapter 4 and other code implemented in previous chapters, which we import in the analysis notebook.
  • requirements-extra.txt includes additional Python libraries that need to be installed (via pip install -r requirements-extra.txt.