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82872
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226.2
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Convolutional
Neural Networks using
Logarithmic
Data Representation
dev.to
·
2h
·
Discuss:
DEV
🧭
Vector Databases
Logistic
Regression, Average Marginal Effects, and the Linear Probability Model - Part II:
Coefficients
and AMEs of nested models
elff.eu
·
1d
🤖
AI
Fastfood
: Approximate Kernel Expansions in
Loglinear
Time
paperium.net
·
6h
·
Discuss:
DEV
🧭
Vector Databases
Quantization-Aware
Distillation
ternarysearch.blogspot.com
·
4h
·
Discuss:
Hacker News
🎮
Reinforcement Learning
[
RFC
PATCH v1 0/4] Machine Learning (
ML
) library in Linux kernel
lore.kernel.org
·
1d
·
Discuss:
Lobsters
,
Hacker News
🔧
Feature Engineering
The Little Book of
Linear
Algebra
little-book-of.github.io
·
1d
🧭
Vector Databases
Magic-MM-Embedding
: Towards Visual-Token-Efficient Universal Multimodal Embedding with
MLLMs
arxiv.org
·
2d
🧭
Vector Databases
Why are Neural Networks
architected
that way in the first place?
threads.championswimmer.in
·
13h
🔀
Transformers
gharasathi
(
घर
ासाठी) — A Privacy-First Household AI Running on a $200 Mini PC
amazon.com.au
·
3h
·
Discuss:
DEV
💾
Database
The Adventures of a
Pythonista
in
Schemeland/29
artima.com
·
9h
🤖
AI
Running Local LLMs as Your AI Coding
Assistant
on Apple
Silicon
dev.to
·
1d
·
Discuss:
DEV
🤖
AI
Human-like Search for Modern
Applications
anvitra.ai
·
4h
·
Discuss:
Hacker News
🧭
Vector Databases
The Lakers are
lining
up for a
Giannis
chase, but the real plan must be bigger
nytimes.com
·
1d
🤖
AI
Tip of the Week #158:
Abseil
Associative
containers and contains()
abseil.io
·
9h
🧭
Vector Databases
Understanding LLM Inference
Engines
: Inside
Nano-vLLM
(Part 2)
neutree.ai
·
1d
·
Discuss:
Hacker News
🎮
Reinforcement Learning
A logical
re-conception
of neural networks: Hamiltonian
bitwise
part-whole architecture
arxiv.org
·
2d
🔀
Transformers
Dr.
StrangeYAML
or How I Learned to Stop
Worrying
and Love the LLM
yamlscript.org
·
1d
🌐
Distributed Systems
ML-LIB
: Machine Learning Library Proposed For The Linux Kernel
phoronix.com
·
1d
·
Discuss:
Hacker News
🧭
Vector Databases
In (highly
contingent
!) defense of
interpretability-in-the-loop
ML training
lesswrong.com
·
1d
🎮
Reinforcement Learning
A Large-Scale
Peripheral
Blood Cell Dataset for Automated
Hematological
Analysis
nature.com
·
1d
🔧
Feature Engineering
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