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🪜 Recursive Descent
Hand-Written Parsers, Predictive Parsing, LL(1), Error Recovery
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82829
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Pratt
Parsers
: Expression Parsing Made Easy
journal.stuffwithstuff.com
·
17h
📊
Pratt Parsers
25W06
. Learning a language with the machine
z1nz0l1n.com
·
33m
🌱
Minimal ML
AI Logic Flaw
Overcome
,
Allowing
Language Models To Reason More Like Humans
quantumzeitgeist.com
·
2d
🧪
Parser Testing
learning by
reverse
engineering
clymup.com
·
21h
🔓
Decompilers
Quantization-Aware
Distillation
ternarysearch.blogspot.com
·
8h
·
Discuss:
Hacker News
🚀
Tokenizer Performance
Oatmeal
-
Constraint
propagation for fun
eli.li
·
8h
🧩
Constraint Solvers
Building
Reliable
AI Applications: A
Validation
Strategy
dev.to
·
40m
·
Discuss:
DEV
✅
Configuration Validation
Gradually
Compacting
Large Language Models for Reasoning Like a Boiling Frog
arxiv.org
·
2d
📊
LR Parsing
Mechanistic
Interpretability:
Peeking
Inside an LLM
towardsdatascience.com
·
2d
🔍
ML Language
Stochastic Gradient Descent
Optimizes
Over-parameterized Deep
ReLU
Networks
dev.to
·
13h
·
Discuss:
DEV
🗺️
Region Inference
Show HN:
LocalGPT
– A local-first AI assistant in Rust with
persistent
memory
news.ycombinator.com
·
7h
·
Discuss:
Hacker News
🔒
Rust Borrowing
Why do tree-based models still
outperform
deep learning on
tabular
data?
paperium.net
·
14h
·
Discuss:
DEV
🌱
Minimal ML
The Machine
Learned
Our Language
medium.com
·
1d
·
Discuss:
r/programming
🧠
Semantic Parsing
StatLLM
: A Dataset for Evaluating the Performance of Large Language Models in
Statistical
Analysis
nature.com
·
1d
📊
LR Parsing
How I
squeezed
a
BERT
sentiment analyzer into 1GB RAM on a $5 VPS
mohammedeabdelaziz.github.io
·
20h
·
Discuss:
Hacker News
🗺️
Region Inference
Rob
Pike
's Simple Regular
Expressions
bruceediger.com
·
9h
🔤
Regex Engines
ML-LIB
: Machine Learning Library Proposed For The Linux Kernel
phoronix.com
·
1d
·
Discuss:
Hacker News
🌱
Minimal ML
My Most Important C++
Aha
!
Moments
...Ever
artima.com
·
13h
🔬
Nanopasses
Humane
, adaptive AI
bootstrapping
natemeyvis.com
·
1d
🔄
Bootstrapping
Logarithmic-time
Schedules
for Scaling Language Models with Momentum
arxiv.org
·
2d
🚀
Tokenizer Performance
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