Anti-hype LLM reading list

Anti-hype LLM reading list Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts and experience preferred (super rare at this point). My own notes from a few months back. Background Survey of LLMS Self-attention and transformer networks What are embeddings The Illustrated Word2vec - A Gentle Intro to Word Embeddings in Machine Learning (YouTube) Catching up on the weird world of LLMS Foundational Papers Attention is all you Need Scaling Laws for Neural Language Models BERT Language Models are Unsupervised

A screenshot shows an “Anti-hype LLM reading list” with notes, background resources, and foundational research papers. The joke is the dry contrast between the promise of a practical, no-hype reading list and the intimidating stack of dense machine-learning concepts and papers. It is shared as a reaction to excessive AI hype or when someone wants to signal serious technical skepticism.

• @jemalloc / 1262 2023-08-28