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Deep Learning

This tag is for discussing, sharing articles, and asking questions primarily on deep learning - a subfield of machine learning.

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How Open-Source LLMs Differ: Comparing 130+ Model Architectures
amananandrai profile

How Open-Source LLMs Differ: Comparing 130+ Model Architectures

#ai #llm #deeplearning #deepseek
5
Comments
7 min read
Copying without attention: Fourier readout of a fixed-size wave memory
datatab profile

Copying without attention: Fourier readout of a fixed-size wave memory

#machinelearning #deeplearning #ai #embedded
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22 min read
Why Do AI Models Need High-Dimensional Embeddings?
karam999 profile

Why Do AI Models Need High-Dimensional Embeddings?

#deeplearning #ai #llm #embeddings
3
Comments
2 min read
Beyond Static Layers: The Architecture of Mixture-of-Depths (MoD)
malvintnw profile

Beyond Static Layers: The Architecture of Mixture-of-Depths (MoD)

#ai #deeplearning #transformers #machinelearning
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2 min read
SinkState: Scaling Hybrid LLMs with On-the-Fly SVD and Adaptive Low-Rank States
prabhakar_chaudhary_7afe4 profile

SinkState: Scaling Hybrid LLMs with On-the-Fly SVD and Adaptive Low-Rank States

#ai #machinelearning #llm #deeplearning
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5 min read
Building Road Infrastructure Digital Twins with Computer Vision & Deep Learning
atalaghat profile

Building Road Infrastructure Digital Twins with Computer Vision & Deep Learning

#ai #deeplearning #machinelearning
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3 min read
My depth model was obsessed with the sky. Here's how I made it care about cars.
seemanthraju profile

My depth model was obsessed with the sky. Here's how I made it care about cars.

#computervision #deeplearning #machinelearning #computerscience
1
Comments
5 min read
FlashAttention: Why Tiling Attention Makes Transformers Fast Without Changing the Result
umeshtharukaofficial profile

FlashAttention: Why Tiling Attention Makes Transformers Fast Without Changing the Result

#machinelearning #datascience #ai #deeplearning
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11 min read
Reverse-Engineering the Black Box: The Science of Mechanistic Interpretability
malvintnw profile

Reverse-Engineering the Black Box: The Science of Mechanistic Interpretability

#ai #deeplearning #machinelearning
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3 min read
Praxis-1: How Runway Turned a Video Foundation Model Into a Robot Brain
prabhakar_chaudhary_7afe4 profile

Praxis-1: How Runway Turned a Video Foundation Model Into a Robot Brain

#ai #machinelearning #deeplearning #opensource
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5 min read
From Lab to Code #4: Exploring Neural Network Efficiency with Python and PyTorch
ertugrulmutlu profile

From Lab to Code #4: Exploring Neural Network Efficiency with Python and PyTorch

#python #machinelearning #deeplearning #pytorch
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12 min read
Batch normalization, visually: the reset that keeps deep networks steady
syedabdulhanan profile

Batch normalization, visually: the reset that keeps deep networks steady

#deeplearning #machinelearning #pytorch #ai
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5 min read
From Attention to 3-Bit Caches: How LLMs Learned to Remember Less (MHA, GQA, MLA, MoE, Quantisation Explained)
amananandrai profile

From Attention to 3-Bit Caches: How LLMs Learned to Remember Less (MHA, GQA, MLA, MoE, Quantisation Explained)

#ai #llm #machinelearning #deeplearning
7
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22 min read
The Shift to Test-Time Compute: Why AI is Learning to "Think" Before it Speaks
malvintnw profile

The Shift to Test-Time Compute: Why AI is Learning to "Think" Before it Speaks

#ai #machinelearning #deeplearning #technologytrends
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3 min read
Deep Learning vs Machine Learning: Which Does Your Project Actually Need?
yamankavishwar profile

Deep Learning vs Machine Learning: Which Does Your Project Actually Need?

#machinelearning #deeplearning #ai #datascience
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4 min read
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