Ask HN: How do you catch up to the research of LLMs/Transformers etc.?

The author expresses their efforts to keep up with recent research in the fields of transformers, GANs, LLMs, and more. They have been utilizing various resources and reading original papers for a deeper understanding. However, they find it challenging as most papers refer to previous ones, leading them to discover even more research.

To cope with the fast-paced research, the author uses resources like Papers with Code, Two Minutes Papers on YouTube, Awesome-Diffusion-Models on GitHub, and Litmaps for finding references. They are seeking advice on how to more effectively catch up with the rapidly advancing research.

Key takeaways:

The author is trying to catch up on recent research in areas such as transformers, GANs, LLMs, etc.
The author finds that most research papers refer to previous papers, leading to a continuous discovery of more research.
The author is seeking advice on how to keep up with fast-moving research.
The author shares some resources they use, including Papers with Code, Two Minutes Papers on YouTube, the Awesome Diffusion Models GitHub repository, and Litmaps for finding references.

Ask HN: How do you catch up to the research of LLMs/Transformers etc.?

Key takeaways:

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