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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 Self-Driving Cars Understand Traffic: AI Vision Explained

How Self-Driving Cars Understand Traffic: AI Vision Explained

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3 min read
How Neural Networks Work — From Perceptrons to Backpropagation

How Neural Networks Work — From Perceptrons to Backpropagation

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3 min read
How to read an AI's thoughts before it speaks

How to read an AI's thoughts before it speaks

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3 min read
How I Built a Free Voice AI Pipeline Using Whisper, LLaMA 3.1 & Groq

How I Built a Free Voice AI Pipeline Using Whisper, LLaMA 3.1 & Groq

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1 min read
Why does paying more make your LLM reply faster?

Why does paying more make your LLM reply faster?

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3 min read
The Softmax Bottleneck: Why Making LLMs Bigger Doesn't Always Make Them Smarter

The Softmax Bottleneck: Why Making LLMs Bigger Doesn't Always Make Them Smarter

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4 min read
The Exact Prompt Engineering That Makes Our Voice AI Sound Human (Full Prompts Included)

The Exact Prompt Engineering That Makes Our Voice AI Sound Human (Full Prompts Included)

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6 min read
How Large Language Models Work — From Transformers to Conversational AI

How Large Language Models Work — From Transformers to Conversational AI

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4 min read
Lost in the Middle: Why LLMs Quietly Ignore the Centre of Their Own Context Window

Lost in the Middle: Why LLMs Quietly Ignore the Centre of Their Own Context Window

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3 min read
Stop Guessing Which Weights Your Neural Network Actually Learned: Deterministic Initialization That Tracks Every Change

Stop Guessing Which Weights Your Neural Network Actually Learned: Deterministic Initialization That Tracks Every Change

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6 min read
VXN-RAMNet (VisionX Routine Adaptive Memory Network)

VXN-RAMNet (VisionX Routine Adaptive Memory Network)

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1 min read
Generation 1 — Standalone Models (2018–2022)

Generation 1 — Standalone Models (2018–2022)

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5 min read
The Paper That Taught Neural Networks to Learn Backwards

The Paper That Taught Neural Networks to Learn Backwards

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13 min read
How Deep Learning Architectures Evolved — From DNNs to Transformers

How Deep Learning Architectures Evolved — From DNNs to Transformers

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3 min read
# What LoRA Actually Adapts and Why Higher Rank Doesn't Always Buy What It Looks Like It Should Explainer by: Eyoel Nebiyu

# What LoRA Actually Adapts and Why Higher Rank Doesn't Always Buy What It Looks Like It Should Explainer by: Eyoel Nebiyu

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5 min read
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