• Ternary Weights, 3-Bit KV Caches, and the Limits of Quantization | Bangalore Paper Club - YouTube
• Machine Learning Engineering Open Book github.com/stas00
• Machine Learning: LLM/VLM Training and Engineering by Stas Bekman stasosphere.com
• Understanding LSTM Networks colah.github.io
• Autograd - automatically differentiate native Python and Numpy code github.com/HIPS/autograd
• IOP Systems blogs iop.systems
• E2E pipeline to visualise how LLMs process prompts github.com/taylorsatula
• Attention Is All You Need arxiv.org
• Neural Machine Translation by Jointly Learning to Align and Translate arxiv.org research.google.com
• Learning representations by back-propagating errors www.nature.com
• Efficient Estimation of Word Representations in Vector Space arxiv.orgresearch.google.com
• Scalable Private Search with Wally machinelearning.apple.com
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding research.google.com
• How LLMs Actually Work www.0xkato.xyz
• Can gzip be a language model nathan.rs
• Language Modeling Without Neural Networks nathan.rs
• Tiny LLM - LLM Serving in a Week skyzh.github.io
• An Agent in 100 Lines of Lisp, or How my Prof was Right - Just 25 Years Early thebeach.dev
• Modern GPU Programming for MLSys mlc.ai