EPISODE · May 1, 2026 · 11 MIN
Stanford CS336 L3: Language Model Architectures Evolution, Standardizations, and Optimization Strategies
from Steven AI Talk · host Steven
Stanford CS336: Language Model Architectures Evolution, Standardizations, and Optimization StrategiesIn this session, we analyze the architectural blueprints of state-of-the-art language models. From the shift to Pre-Normalization to the rise of Rotary Positional Embeddings (RoPE), we cover why certain design choices have become industry constants.Topics Covered:- The importance of residual stream purity.- Why SwiGLU is favored over traditional activations.- Optimization strategies for long-context windows.- Memory handling with Grouped Query Attention (GQA).Full video on youtube, substack!Check out my Linktree for all social media and podcast links!All my links: https://linktr.ee/learnbydoingwithsteven#LLMArchitecture #StanfordCS336 #LearnByDoingWithSteven #StevenDataTalk #数能生智
What this episode covers
Stanford CS336: Language Model Architectures Evolution, Standardizations, and Optimization StrategiesIn this session, we analyze the architectural blueprints of state-of-the-art language models. From the shift to Pre-Normalization to the rise of Rotary Positional Embeddings (RoPE), we cover why certain design choices have become industry constants.Topics Covered:- The importance of residual stream purity.- Why SwiGLU is favored over traditional activations.- Optimization strategies for long-context windows.- Memory handling with Grouped Query Attention (GQA).Full video on youtube, substack!Check out my Linktree for all social media and podcast links!All my links: https://linktr.ee/learnbydoingwithsteven#LLMArchitecture #StanfordCS336 #LearnByDoingWithSteven #StevenDataTalk #数能生智
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Stanford CS336 L3: Language Model Architectures Evolution, Standardizations, and Optimization Strategies
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