Pradyumna Chippigiri
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Decode
Oct 23, 2026
Prefill
Oct 23, 2026
Building a Tiny Inference Server
Oct 21, 2026
Adam and AdamW
Oct 12, 2026
Flavors of Optimizers
Oct 12, 2026
PyTorch Fundamentals - From Tensors to Training a Neural Network
Oct 12, 2026
SGD and SGD with Momentum
Oct 12, 2026
Distributed Data Parallelism
Oct 02, 2026
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23 notes
2026
Decode
October 23
Prefill
October 23
Building a Tiny Inference Server
October 21
Adam and AdamW
October 12
Flavors of Optimizers
October 12
PyTorch Fundamentals - From Tensors to Training a Neural Network
October 12
SGD and SGD with Momentum
October 12
Distributed Data Parallelism
October 2
Model parallelism
October 2
Strategies for scaling neural networks across multiple GPUs
October 1
Knowledge Distillation
September 27
Proper distillation - type of knowledge distillation
September 27
ReLu activation function
September 27
Tanh activation function
September 27
Logits
September 26
Sigmoid activation function
September 26
Vanishing Gradient
September 26
Jev
September 20
LLM Compute constraints
September 18
Prompt Injection
September 18
Semantic Caching
September 18
Agent Memory Types
January 18
How Agents write to external long term memory
January 18
Backlinks
Adam and AdamW
Agent Memory Types
Building a Tiny Inference Server
Decode
Distributed Data Parallelism
Flavors of Optimizers
How Agents write to external long term memory
Jev
Knowledge Distillation
LLM Compute constraints
Logits
Model parallelism
Prefill
Prompt Injection
Proper distillation - type of knowledge distillation
PyTorch Fundamentals - From Tensors to Training a Neural Network
ReLu activation function
SGD and SGD with Momentum
Semantic Caching
Sigmoid activation function
Strategies for scaling neural networks across multiple GPUs
Tanh activation function
Vanishing Gradient
Graph View