Show HN: Visual intuitive explanations of LLM concepts (LLM University)
Analysis
This Hacker News post introduces LLM University, a free resource for learning about large language models. It emphasizes visual and intuitive explanations, including text, videos, and code examples. The project is a collaboration between experienced ML educators. The post highlights the resource's structure, covering topics like text embeddings, similarity, attention mechanisms, and transformers. The author invites feedback on desired content.
Key Takeaways
- •LLM University is a free resource for learning about LLMs.
- •It uses visual and intuitive explanations.
- •It includes text, videos, and code examples.
- •It's a collaboration between experienced ML educators.
- •The content covers topics like embeddings, attention, and transformers.
- •The creators are open to suggestions for future content.
Reference
“Having written https://jalammar.github.io/illustrated-transformer/, I've been thinking about these topics and how best to communicate them for half a decade.”