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📦 Aeson
Specific
JSON Parsing, Haskell, Type Classes, Encoding, Decoding
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JTON
: A Token-Efficient JSON
Superset
with Zen Grid Tabular Encoding for Large Language Models
🔗
Parser Combinators
arxiv.org
·
23h
singhalpm-hub/geon-decoder
:
GEON
: Structure-first decoding via equivalence classes and field closure
🔗
Parser Combinators
github.com
·
1d
·
Hacker News
Type-Guided
Constrained
Decoding: How to Stop LLMs from
Hallucinating
Code
🔗
Parser Combinators
medium.com
·
5d
Open Problems in List
Decoding
and
Correlated
Agreement
🔗
Parser Combinators
eprint.iacr.org
·
1d
Tokenizer That Outperform
Tiktoken
with
O200k
_base
🔗
Parser Combinators
o200k-tokenizer-70fe25.gitlab.io
·
5d
·
Hacker News
Inside a Phishing Attack:
TryHackMe
First Shift
CTF
🔬
BPF
medium.com
·
1d
🛠️ Sky — an
Elm-inspired
language that
compiles
to Go
😴
Lazy Evaluation
lmika.org
·
2d
I
Accidentally
Reinvented
Kernel (Programming Language)
🎓
Scheme
fayash.me
·
3d
·
Hacker News
Decoding
Language with AI: The
NLP
Era
🔗
Parser Combinators
medium.com
·
2d
Progressive encoding and decoding of '
repeated
'
protobuffer
fields.
🔬
BPF
schilk.co
·
3d
·
Hacker News
Charcuterie
: explore
Unicode
by character similarity
🔗
Parser Combinators
boingboing.net
·
1d
Debugging
in the age of AI
🐛
Fuzzing
hypecycles.com
·
6d
HybridKV
: Hybrid
KV
Cache Compression for Efficient Multimodal Large Language Model Inference
⛓️
MCMC
arxiv.org
·
23h
How to
Handle
Classical
Data in Quantum Models?
⛓️
MCMC
towardsdatascience.com
·
6d
Corgi
v3: Binary Indexes and What a Tiny LLM Learned About
VINs
🐛
Fuzz Testing
cardog.app
·
6d
·
r/javascript
SQL-first code generator for
PostgreSQL
(
Haskell
, Rust, Java)
✅
Property Testing
pgenie.io
·
6d
·
Lobsters
From
Hallucination
to Structure
Snowballing
: The Alignment Tax of Constrained Decoding in LLM Reflection
🔗
Parser Combinators
arxiv.org
·
23h
Resource Implications of Different
Encodings
for Quantum Computational
Fluid
Dynamics
💾
information theory
arxiv.org
·
23h
Haskell
Miso
v1.9.0 Released
📦
Cabal
github.com
·
6d
·
Hacker News
Efficient Inference for Large Vision-Language Models:
Bottlenecks
, Techniques, and
Prospects
⛓️
MCMC
arxiv.org
·
23h
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