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A user on Reddit is appealing to the AI community for resources on training industry-grade Large Language Models (LLMs). The poster, /u/Happysedits, is specifically seeking materials that outline the complete process, from data preparation and training methodologies to strategies for mitigating common LLM issues. These include overfitting, catastrophic forgetting, and mode collapse, all of which can hamper the creation of stable and versatile models. The goal is to develop LLMs capable of performing diverse tasks and functioning effectively as helpful AI assistants. Suggested resources in the Reddit thread include work by Sebastian Raschka, the RedPajama dataset, and the OLMo 2 LLMs. The original Reddit post can be found at: https://old.reddit.com/r/artificial/comments/1l4lx8f/is_there_an_video_or_article_or_book_where_a_lot/