AI: post transformers

Por: mcgrof
The transformer architecture revolutionized the world of Neural Networks. It was a springboard for what we know today as modern artificial intelligence. This podcast focuses on modern state of the art research paper reviews starting from the transformer and on.
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Latest episodes of the podcast AI: post transformers

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LeNet-5: Convolutional Networks for Character Recognition 07/08/2025
Constitutional AI: Harmlessness Through Self-Improvement 07/08/2025
GQA: Grouped Query Attention 07/08/2025
Linformer: Efficient Self-Attention with Linear Complexity 07/08/2025
Longformer: A Transformer for Long Documents 07/08/2025
RoPE 07/08/2025
Layer Normalization and Dual Patch Normalization 07/08/2025
Batch Normalization 07/08/2025
Chinchilla: Optimal Language Model Scaling 07/08/2025
Transformer Scaling 07/08/2025
Learning from repeated data 07/08/2025
Scaling Laws 07/08/2025
LSTM: the forget gate 07/08/2025
GPT4 Technical Report 07/08/2025
GPT3 07/08/2025
GPT2 07/08/2025
GELU 07/08/2025
Dropout 07/08/2025
ResNets - residual block 07/08/2025
BERT 07/08/2025
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