Analysis
This project offers a fantastic hands-on introduction to the inner workings of Generative AI and Large Language Models. By creating a custom LLM using open-source tools, the author demystifies the process and makes it accessible for anyone to learn the core principles of text generation. This is a great example of how you can dive deep into this fascinating field!
Key Takeaways
- •The project utilizes publicly available, copyright-free texts from the Aozora Bunko library as training data.
- •It covers the complete LLM creation pipeline, from data preparation and tokenization to model implementation and text generation.
- •The author opted for simplicity by avoiding text cleaning, focusing on the core aspects of model training.
Reference / Citation
View Original"I tried removing ruby and annotations using regular expressions, but I got stuck in the problem of deleting the text itself many times. Finally, I decided not to do any cleaning at all, and only decode."