- PyTorch
- ML-Compilers
- learn-by-doing
- LLM
- GNN
- deeplearning
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Learn by doing: TorchInductor (DeviceAssert)
My First Post in the “Learn by Doing” Series Solving a Real PyTorch TorchInductor Issue
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Why Large Language Models Fail at Precision Regression
In this post, I use mathematical proofs to explain the fundamental limitations that prevent Large Language Models from achieving precise numerical regression.
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Fully Sharded Data Parallel (FSDP)
Training your LLM Multi Node Multi GPU System
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Rotatory Position Embedding (RoPE)
Theoretical Overview and Coding Explanation
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Graph Neural Network: In a Nutshell
Theoretical Overview