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🔬 AI Research
papers, benchmarks, models, scaling laws
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152
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Reinforcement
Learning
for Flow-Matching Policies with Density Transport
🤖
Reinforcement Learning
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Reinforcement Learning for Flow-Matching Policies with Density Transport
SLUUG Talk: Demystifying
Large
Language
Models
on Linux
🤖
LLMs
Content type:
Code
github.com
·
4d
4 days ago
·
DEV
Actions for SLUUG Talk: Demystifying Large Language Models on Linux
Anthropic CEO says
AI
growth is exponential. Anthropic
research
says otherwise.
📈
AI Progress
Content type:
News
mashable.com
·
8h
8 hours ago
Actions for Anthropic CEO says AI growth is exponential. Anthropic research says otherwise.
The
Transformer
Architecture
: A Step-by-Step Guide
⚡
Transformers
Content type:
Blog
m7mdelyoussef.medium.com
·
11h
11 hours ago
Actions for The Transformer Architecture: A Step-by-Step Guide
Ultrafast
machine
learning
on FPGAs via Kolmogorov-Arnold Networks
⚡
Compute Scaling
aarushgupta.io
·
1d
1 day ago
·
Lobsters
,
Hacker News
Actions for Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks
Attention Based Interpretability With Concept
Transformer
⚡
Transformers
Content type:
Blog
medium.com
·
6d
6 days ago
Actions for Attention Based Interpretability With Concept Transformer
OpenCV 5 Debuts with Improved ONNX Support and Native
AI
Upgrades
⚡
Transformers
Content type:
News
hackster.io
·
17h
17 hours ago
Actions for OpenCV 5 Debuts with Improved ONNX Support and Native AI Upgrades
Built and launched a
research-reading
and highlighting tool with Claude over a few months. Here are the things
AI
was surprisingly good (and bad) at.
⚡
Transformers
highlyt.app
·
2d
2 days ago
·
r/ClaudeAI
Actions for Built and launched a research-reading and highlighting tool with Claude over a few months. Here are the things AI was surprisingly good (and bad) at.
Anthropic’s Warning Is Bigger Than Claude:
AI
Research
Is Becoming a Feedback Loop
📈
AI Progress
Content type:
Blog
medium.com
·
5d
5 days ago
Actions for Anthropic’s Warning Is Bigger Than Claude: AI Research Is Becoming a Feedback Loop
Machine
learning
from scratch, what to build before using scikit-learn
⚡
Transformers
Content type:
Tutorial
iwtlp.com
·
18h
18 hours ago
·
DEV
Actions for Machine learning from scratch, what to build before using scikit-learn
Anthropic: Claude Now Writes 80% of Its Own Code in 2026
⚡
Transformers
Content type:
Blog
wowhow.cloud
·
2d
2 days ago
·
DEV
Actions for Anthropic: Claude Now Writes 80% of Its Own Code in 2026
Why LLMs hallucinate?
⚡
Transformers
Content type:
Blog
medium.com
·
5d
5 days ago
Actions for Why LLMs hallucinate?
Promera: a unified
model
for biomolecular structure prediction, filtering, and design
🧬
Computational Biology
Content type:
Academic
biorxiv.org
·
9h
9 hours ago
Actions for Promera: a unified model for biomolecular structure prediction, filtering, and design
The Untrainable
📈
AI Progress
Content type:
News
Content type:
Blog
saranormous.substack.com
·
1d
1 day ago
·
Substack
Actions for The Untrainable
Apple WWDC On-Device
AI
Deep Dive - Google Docs
⚡
Compute Scaling
gist.is
·
10h
10 hours ago
·
Hacker News
Actions for Apple WWDC On-Device AI Deep Dive - Google Docs
Major Types of
Machine
Learning
🔥
PyTorch
Content type:
Blog
medium.com
·
5d
5 days ago
Actions for Major Types of Machine Learning
What are
AI
parameters — and why does everyone keep talking about billions of them?
📈
AI Progress
Content type:
Blog
medium.com
·
2d
2 days ago
Actions for What are AI parameters — and why does everyone keep talking about billions of them?
OpenCSP: a deep
learning
framework for crystal structure prediction from ambient to high pressure
🔥
PyTorch
Content type:
Academic
nature.com
·
1d
1 day ago
Actions for OpenCSP: a deep learning framework for crystal structure prediction from ambient to high pressure
Simmons Student
Researches
AI
at MIT and OpenAI
📈
AI Progress
Content type:
Academic
simmons.edu
·
20h
20 hours ago
Actions for Simmons Student Researches AI at MIT and OpenAI
Item Response
Scaling
Laws
: A Measurement Theory Approach for Efficient and Generalizable Neural
Scaling
Estimation
📈
AI Progress
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation
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