AI Architecture & Systems
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Algorithms
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§6.27
Model Evolution: From Sequence Models to Foundation Models
6.27.1
RNN, LSTM, and Seq2Seq
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6.27.2
Attention and the Original Transformer
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6.27.3
BERT, T5, and the Pretraining Paradigm
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6.27.4
GPT, GPT-2, and GPT-3
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6.27.5
InstructGPT and Instruction/Preference Alignment
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6.27.6
Dense LM → MoE → Reasoning/Multimodal Models
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6.26 Communication-Efficient Learning and Distributed Optimization
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6.28 Model Family: Llama