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179
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Generalization in
Deep
Neural
Networks
: Minimax Rates for Gradient Methods
👨💻
Karpathy
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for Generalization in Deep Neural Networks: Minimax Rates for Gradient Methods
Latent
learning
: episodic memory complements parametric
learning
by...
🧠
LLMs
openreview.net
·
1d
1 day ago
·
Hacker News
Actions for Latent learning: episodic memory complements parametric learning by...
I Trained a
Machine-Learning
Model
From Scratch in 40 Lines (No scikit-learn)
🧠
LLMs
dev48v.infy.uk
·
19h
19 hours ago
·
DEV
Actions for I Trained a Machine-Learning Model From Scratch in 40 Lines (No scikit-learn)
How I Finally Understood
Gradient
Descent
👨💻
Karpathy
Content type:
Blog
medium.com
·
1d
1 day ago
Actions for How I Finally Understood Gradient Descent
AI
Data Centers Hit a Wall: The
Transformer
Shortage
👨💻
Karpathy
Content type:
Blog
Content type:
Discussion
tildalice.io
·
22h
22 hours ago
Actions for AI Data Centers Hit a Wall: The Transformer Shortage
Welcome to
Machine
Learning
With Manya: The Ultimate Adventure Map!
👨💻
Karpathy
Content type:
Blog
medium.com
·
6d
6 days ago
Actions for Welcome to Machine Learning With Manya: The Ultimate Adventure Map!
Backpropagation
Explained: The Algorithm That Teaches
Neural
Networks
to Think
👨💻
Karpathy
Content type:
Blog
medium.com
·
1d
1 day ago
Actions for Backpropagation Explained: The Algorithm That Teaches Neural Networks to Think
How Zoho Labs pivoted to inference engineering
👨💻
Karpathy
yourstory.com
·
12h
12 hours ago
Actions for How Zoho Labs pivoted to inference engineering
Machine
learning
from scratch, what to build before using scikit-learn
🧠
LLMs
Content type:
Tutorial
iwtlp.com
·
4d
4 days ago
·
DEV
Actions for Machine learning from scratch, what to build before using scikit-learn
How ChatGPT Works in Generative
AI
: A Simple Guide
🧠
LLMs
Content type:
Blog
topgenerativeaitraining.blogspot.com
·
1d
1 day ago
Actions for How ChatGPT Works in Generative AI: A Simple Guide
Ultrafast
machine
learning
on FPGAs via Kolmogorov-Arnold
Networks
👨💻
Karpathy
aarushgupta.io
·
4d
4 days ago
·
Lobsters
,
Hacker News
·
Cited by 2 articles
Actions for Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks
Microsoft's SkillOpt boosts GPT-5.5 by using nothing but a trained Markdown file
👨💻
Karpathy
Content type:
News
the-decoder.com
·
1d
1 day ago
Actions for Microsoft's SkillOpt boosts GPT-5.5 by using nothing but a trained Markdown file
Dr. Ashish Bamania (@drashishbamania)
👨💻
Karpathy
substack.com
·
3d
3 days ago
·
Substack
Actions for Dr. Ashish Bamania (@drashishbamania)
Why
Transformer
Models
Get Costlier as
Context
Grows
✍️
Prompt Engineering
siliconopera.com
·
2d
2 days ago
Actions for Why Transformer Models Get Costlier as Context Grows
ml-from-scratch-book/code: Companion code for
Machine
Learning
From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.
🧠
LLMs
Content type:
Code
github.com
·
5d
5 days ago
·
Hacker News
Actions for ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.
4DO-DETR for otitis media detection
📚
Knowledge Bases
Content type:
Academic
nature.com
·
2d
2 days ago
Actions for 4DO-DETR for otitis media detection
I Built a
Neural
Network
's First Neuron From Scratch — the 1958 Perceptron
👨💻
Karpathy
dev48v.infy.uk
·
19h
19 hours ago
·
DEV
Actions for I Built a Neural Network's First Neuron From Scratch — the 1958 Perceptron
The 400-Millisecond History: How Seventy Years of
AI
Built
Modern
Advertising
🤖
AI Agents
iabtechlab.com
·
3d
3 days ago
Actions for The 400-Millisecond History: How Seventy Years of AI Built Modern Advertising
Best Python
AI
Frameworks in 2026 | The PyCharm Blog
🧠
LLMs
Content type:
Blog
blog.jetbrains.com
·
3d
3 days ago
Actions for Best Python AI Frameworks in 2026 | The PyCharm Blog
Implications of Continual
Learning
for LLM Agents: Introduction
🤖
AI Agents
lesswrong.com
·
2d
2 days ago
Actions for Implications of Continual Learning for LLM Agents: Introduction
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