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📦 Model Compression
Quantization, Pruning, Distillation, Efficient AI
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125218
posts in
2.15
s
Train Less,
Infer
Faster: Efficient Model
Finetuning
and Compression via Structured Sparsity
arxiv.org
·
1d
⚙️
AutoML
EyesOff
: Why Some Models
Quantize
Better Than Others
ym2132.github.io
·
13h
·
Discuss:
Hacker News
💬
Prompt Engineering
Wavelet
Meets Adam:
Compressing
Gradients for Memory-Efficient Training
chipublib.idm.oclc.org
·
20h
⚙️
AutoML
UniComp
: A Unified Evaluation of Large Language Model Compression via
Pruning
, Quantization and Distillation
arxiv.org
·
1d
⚙️
AutoML
The 5 Model
Compression
Techniques: How to
Shrink
AI 10× Without Losing Accuracy
pub.towardsai.net
·
5d
⚙️
AutoML
Architectural and Mathematical
Foundations
of Machine Learning: A
Rigorous
Synthesis of Theory, Geometry, and Implementation
chizkidd.github.io
·
22h
·
Discuss:
Hacker News
⚙️
AutoML
Large Language Models for
Mortals
book
andrewpwheeler.com
·
1d
⚙️
AutoML
What I’m Learning in Data Structures: The Algorithm Behind
Compression
(
bzip
, etc.)
dev.to
·
12h
·
Discuss:
DEV
🔍
Vector Databases
A Hands-On Introduction to Restricted
Boltzmann
Machines with a Minimal
NumPy
Implementation
github.com
·
22h
·
Discuss:
DEV
⚙️
AutoML
Digitizing
the "
Shokunin
": How we encoded a Master's hammer strike into AI
yusukekaizen.substack.com
·
5h
·
Discuss:
Substack
💬
Prompt Engineering
Digital
Signal
Processing
With Audio Data
m.youtube.com
·
22h
⚙️
AutoML
Training Data from Real-World Sources
lightningrod.ai
·
13h
🔍
Vector Databases
Quantization-Aware
Distillation
ternarysearch.blogspot.com
·
4d
·
Discuss:
Hacker News
⚙️
AutoML
突然想到ns还有个ai分站来着
nodeseek.com
·
11h
🧬
Evolutionary Algorithms
Quality and
understandability
after AI
federicopereiro.com
·
1h
·
Discuss:
Hacker News
🧬
AGI Self-Evolution
AI
Inference
Needs A
Mix-And-Match
Memory Strategy
semiengineering.com
·
3h
💬
Prompt Engineering
A History of Large Language Models
gregorygundersen.com
·
11h
🔍
Vector Databases
Show HN: A
header-only
C++ benchmark for predictive models on raw
binary
streams
github.com
·
3h
·
Discuss:
Hacker News
💬
Prompt Engineering
Deterministic
Inference with
EigenAI
deterministicinference.com
·
17h
💬
Prompt Engineering
Show HN: Latent-k –
Persistent
dependency
map to reduce AI coding token usage
latentk.org
·
22h
·
Discuss:
Hacker News
💬
Prompt Engineering
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