Multi-Token Prediction: Architecture for Memory-Efficient LLM Training Post date June 3, 2025 Post author By Large Models (dot tech) Post categories In ai-performance, inference-optimization, language-model-architecture, llm-training, memory-utilization, multi-token-prediction, self-speculative-decoding, transformer-efficiency
Simplifying Transformer Blocks: Implementation Details Post date June 19, 2024 Post author By Auto Encoder: How to Ignore the Signal Noise Post categories In deep-learning, deep-transformers, neural-network-architecture, neural-network-efficiency, signal-propagation-theory, simplified-transformer-blocks, transformer-architecture, transformer-efficiency
Simplifying Transformer Blocks: Additional Experiments Post date June 19, 2024 Post author By Auto Encoder: How to Ignore the Signal Noise Post categories In deep-learning, deep-transformers, neural-network-architecture, neural-network-efficiency, signal-propagation-theory, simplified-transformer-blocks, transformer-architecture, transformer-efficiency
Simplifying Transformer Blocks: Block Layouts Post date June 19, 2024 Post author By Auto Encoder: How to Ignore the Signal Noise Post categories In deep-learning, deep-transformers, neural-network-architecture, neural-network-efficiency, signal-propagation-theory, simplified-transformer-blocks, transformer-architecture, transformer-efficiency
A Duality Between Downweighted Residual and Restricting Updates In Linear Layers Post date June 19, 2024 Post author By Auto Encoder: How to Ignore the Signal Noise Post categories In deep-learning, deep-transformers, neural-network-architecture, neural-network-efficiency, signal-propagation-theory, simplified-transformer-blocks, transformer-architecture, transformer-efficiency
Simplifying Transformer Models for Faster Training and Better Performance Post date June 19, 2024 Post author By Auto Encoder: How to Ignore the Signal Noise Post categories In deep-learning, deep-transformers, neural-network-architecture, neural-network-efficiency, signal-propagation-theory, simplified-transformer-blocks, transformer-architecture, transformer-efficiency
Improving Training Stability in Deep Transformers: Pre-LN vs. Post-LN Blocks Post date June 19, 2024 Post author By Auto Encoder: How to Ignore the Signal Noise Post categories In deep-learning, deep-transformers, neural-network-architecture, neural-network-efficiency, signal-propagation-theory, simplified-transformer-blocks, transformer-architecture, transformer-efficiency
Simplifying Transformer Blocks: Related Work Post date June 19, 2024 Post author By Auto Encoder: How to Ignore the Signal Noise Post categories In deep-learning, deep-transformers, neural-network-architecture, neural-network-efficiency, signal-propagation-theory, simplified-transformer-blocks, transformer-architecture, transformer-efficiency
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