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π€ machine learning
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80287
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Cutting Through the Noise: On-the-fly
Outlier
Detection for Robust Training of Machine Learning
Interatomic
Potentials
arxiv.org
Β·
8h
β
fairness
Breaking the
Simplification
Bottleneck in
Amortized
Neural Symbolic Regression
arxiv.org
Β·
8h
β
fairness
Turning Any Model into an XAI-Ready Model:
Formats
and
Gradient
Flow
dev.to
Β·
2h
Β·
Discuss:
DEV
π
Cultural Data Standards
Missing Data in Machine Learning: A
Practical
Step-by-Step Approach
dev.to
Β·
2d
Β·
Discuss:
DEV
π
Cultural Data Standards
Automated identification of pilot failures in aviation accidents using a
BERT-based
classifier
and topic modeling
sciencedirect.com
Β·
2d
β
fairness
A $
10K
Mac Studio Wonβt
Replace
Your API Bill
iain.so
Β·
1d
π
Cultural Data Standards
Text classification with Python 3.14's
zstd
module β’ Max
Halford
maxhalford.github.io
Β·
4d
Β·
Discuss:
Lobsters
,
Hacker News
π
Cultural Data Standards
Writing an LLM from scratch, part
32d
--
Interventions
: adding attention bias
gilesthomas.com
Β·
3d
Β·
Discuss:
Hacker News
β
fairness
On
variability
surfingcomplexity.blog
Β·
2d
β
fairness
Stanford
AI Breakthrough: Unlock ChatGPT
Creativity
medium.com
Β·
1d
π
Cultural Data Standards
AI Makes the Easy Part
Easier
and the Hard Part
Harder
blundergoat.com
Β·
2d
Β·
Discuss:
Hacker News
,
Hacker News
,
r/programming
β
fairness
Study: Platforms that
rank
the latest LLMs can be
unreliable
news.mit.edu
Β·
1d
β
fairness
Some
thoughts
on LLM coding
blog.dave.tf
Β·
1d
Β·
Discuss:
Hacker News
π
Cultural Data Standards
Neural population
geometry
and optimal coding of tasks with shared
latent
structure
nature.com
Β·
4d
β
fairness
Large Language Models Live in Time
lesswrong.com
Β·
22h
π
Cultural Data Standards
Style tips for less
experienced
developers
coding with AI
honnibal.dev
Β·
4d
Β·
Discuss:
Hacker News
β
fairness
So
whats
the next word, then? Almost-no-math
intro
to transformer models
matthias-kainer.de
Β·
4d
Β·
Discuss:
Hacker News
β
fairness
NotebookLM
: The AI that only
learns
from you
byandrev.dev
Β·
2d
Β·
Discuss:
Hacker News
π
Cultural Data Standards
How
StrongDM
βs AI team build
serious
software without even looking at the code
simonw.substack.com
Β·
2d
Β·
Discuss:
Substack
π
Cultural Data Standards
Unsupervised
Learning NO. 515
newsletter.danielmiessler.com
Β·
3d
π
Cultural Data Standards
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