Ask HN: Good zero-to-hero resources/repos on LLM training and inference?

The text provided is not an article but a comment from a user named ActorNightly. The user recommends Karpathy's resources for a good introduction to a certain topic, which is not specified in the given data. However, they caution that becoming proficient or a 'hero' in this area will not come from course material alone. Instead, it requires practical implementation and training of models, which may be challenging due to the hardware requirements for large-scale training.

Key takeaways:

The markdown data does not provide any specific details about the article, it is a comment from a user named ActorNightly. However, here are some takeaways based on the comment:

Karpathy's material is a good introduction to the topic.
The 'hero' part of learning comes from implementing and training models.
Training these models at scale may be unfeasible due to hardware requirements.
The user recommends practical application over solely relying on course material.

Ask HN: Good zero-to-hero resources/repos on LLM training and inference?

Key takeaways:

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