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Thomas Nguyen

ThomasTheMaker
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https://billullonex.com

AI & ML interests

Building the world's fastest CPU LLM inference layer

Recent Activity

commented on a paper 5 days ago
A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility
replied to takarajordan's post 5 days ago
🎌 Two months in, https://github.com/takara-ai/go-attention has passed 429 stars on GitHub. We built this library at takara.ai to bring attention mechanisms and transformer layers to Go — in a form that's lightweight, clean, and dependency-free. We’re proud to say that every part of this project reflects what we set out to do. - Pure Go — no external dependencies, built entirely on the Go standard library - Core support for DotProductAttention and MultiHeadAttention - Full transformer layers with LayerNorm, feed-forward networks, and residual connections - Designed for edge, embedded, and real-time environments where simplicity and performance matter Thank you to everyone who has supported this so far — the stars, forks, and feedback mean a lot.
replied to takarajordan's post 6 days ago
🎌 Two months in, https://github.com/takara-ai/go-attention has passed 429 stars on GitHub. We built this library at takara.ai to bring attention mechanisms and transformer layers to Go — in a form that's lightweight, clean, and dependency-free. We’re proud to say that every part of this project reflects what we set out to do. - Pure Go — no external dependencies, built entirely on the Go standard library - Core support for DotProductAttention and MultiHeadAttention - Full transformer layers with LayerNorm, feed-forward networks, and residual connections - Designed for edge, embedded, and real-time environments where simplicity and performance matter Thank you to everyone who has supported this so far — the stars, forks, and feedback mean a lot.
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ThomasTheMaker's activity

commented a paper 5 days ago