Implementing GPT-2 from Scratch: Part 4
Analysis
This article from Qiita NLP focuses on implementing GPT-2, a language model developed by OpenAI in 2019. It builds upon a previous part that covered English-Japanese translation using Transformers. The article likely highlights the key differences between the Transformer architecture and GPT-2's implementation, providing a practical guide for readers interested in understanding and replicating the model. The focus on implementation suggests a hands-on approach, suitable for those looking to delve into the technical details of GPT-2.
Key Takeaways
- •The article provides a practical guide to implementing GPT-2.
- •It builds upon previous work on Transformer-based translation.
- •The focus is on the differences between Transformer and GPT-2.
Reference
“GPT-2 is a language model announced by OpenAI in 2019.”