Stanford University’s CS336 course, "Language Modeling from Scratch," offers a deep technical dive into building LLMs from the ground up

Stanford University’s CS336 course, "Language Modeling from Scratch," offers a deep technical dive into building LLMs from the ground up. In an era of increasingly closed frontier models, mastering the entire stack—from hardware efficiency to scaling laws—is crucial for fundamental AI research. This session focuses on the five pillars of development and the critical role of tokenization (BPE) in bridging raw text with machine intelligence.Key Takeaways:Beyond prompting: The importance of bottom-up engineering mastery.Scaling Laws: Predictability in high-stakes training.Tokenization: Balancing compression efficiency with vocabulary diversity.All my links: https://linktr.ee/learnbydoingwithsteven #learnbydoingwithsteven #StanfordCS336 #LLM #DeepLearning #AIResearch #Tokenization #ScalingLaws #NLP #MachineLearning #AIEngineering