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Neural Attention Search
Linear
: Towards Adaptive
Token-Level
Hybrid Attention Models
arxiv.org
·
1h
🧩
Attention Kernels
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Upgrading Python Packages (
pip-tools
and
uv
)
geoff.tuxpup.com
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12h
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uv
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Using
Nsight
Compute with large
codebases
- Part 2 : Profiling large code bases
blog.ncompass.tech
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13h
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Professional
Guide to Effective
AI-Assisted
Coding
dev.to
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Hetccl
Shows Scaling Of Multi-Vendor GPU
Clusters
For Large Language Models
quantumzeitgeist.com
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5h
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NCCL
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How
LSP
Works: Building a
Grammar
Checker
LSP
from Scratch in Rust
aroy.sh
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1d
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D$^2$
Quant
:
Accurate
Low-bit Post-Training Weight Quantization for LLMs
arxiv.org
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1h
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Model Quantization
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A Guide to the
DataLoader
Class and
Abstractions
in PyTorch
digitalocean.com
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23h
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TorchScript
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grgalex/nvshare
: Practical GPU Sharing Without Memory Size Constraints
github.com
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14h
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GPU Kernels
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Mekara
:
Workflows
as Code Proof-of-Concept
meksys-dev.github.io
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2h
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Anthropic
's Performance Take-Home: A 65x Optimization (For
Dummies
)
ikot.blog
·
16h
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CUDA Optimization
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Key traffic signs and
priority
rules — for anyone planning to ride in the
Netherlands
bicycledutch.wordpress.com
·
7h
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Cycling Infrastructure
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Attention
Optimization
aussieai.com
·
5d
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Attention Optimization
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## Enhanced Predictive Modeling of Spatiotemporal
Lorentz
Invariance
Breakdowns
in Quantum Field Theory via Multi-Modal Data Fusion and Adaptive HyperScore Evaluation
freederia.com
·
1h
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ONNX
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PyTorch
in 2026: The Complete Guide
dev.to
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14h
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A
Demonstration
of
Self-Profiling
geoffchappell.com
·
13h
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Profiling Tools
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Training Design for Text-to-Image Models:
Lessons
from
Ablations
huggingface.co
·
19h
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Gradient Accumulation
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No
Hassle
Visual Code
Theming
: Publishing an Extension
css-tricks.com
·
14h
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Code Editors
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Record AI coding
sessions
as
replayable
workflow recipes
buildlog.ai
·
17h
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local-first
context
manager for AI coding
workflows
contextpin.com
·
12h
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