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💬 Natural Language Processing
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80082
posts in
621.6
ms
Coding A PoS
Tagger
from Scratch — A Statistical Part-of-Speech
Tagger
|
NLP
pub.towardsai.net
·
11h
🤖
Machine Learning
Querying
Dataverse
Using AI Builder’s Grounded Prompts
dev.to
·
1d
·
Discuss:
DEV
🌲
B-Trees
CORE: Comprehensive
Ontological
Relation
Evaluation for Large Language Models
arxiv.org
·
1d
📊
Embeddings
Toward
Faithful
and Complete Answer Construction from a Single
Document
arxiv.org
·
1d
🌲
B-Trees
Recoll
Semantic
Searches
recoll.org
·
1d
·
Discuss:
Hacker News
📊
Embeddings
Building Smarter AI: 16 RAG
Approaches
for
Accuracy
, Memory, and Reasoning
mvineetsharma.medium.com
·
14h
📊
Embeddings
A Note on
Flat
Abstract
Syntax
Trees
gist.github.com
·
15h
·
Discuss:
Hacker News
🌲
B-Trees
AI-Driven Large Language Models
Susceptible
to Medical
Misinformation
insideprecisionmedicine.com
·
10h
🤖
Machine Learning
25W06
. Learning a language with the machine
z1nz0l1n.com
·
1d
🤖
Machine Learning
Extract
structured data from any website. Real-time search API with JSON,
Markdown
& HTML output.
searchresult.dev
·
32m
·
Discuss:
Hacker News
📊
Embeddings
Modernizing
my 150-line Python search engine: Yahoo!
dumps
-> Hugging Face 🤗
bart.degoe.de
·
14h
·
Discuss:
Hacker News
📊
Embeddings
A
Practitioner
’s Guide to
Taxonomies
, Part III
jessicatalisman.substack.com
·
5h
·
Discuss:
Substack
🌲
B-Trees
How
Yelp
Built “
Yelp
Assistant
”
blog.bytebytego.com
·
17h
🌐
WebAssembly
Sneaky
quokka
: Testing and debugging with LLMs
honnibal.dev
·
49m
🌐
WebAssembly
Automated Reasoning checks
rewriting
chatbot
reference
implementation
aws.amazon.com
·
14h
♟
Chess Programming
We
chose
a pipeline over speech-to-speech for
evaluative
voice AI
productfit.substack.com
·
4h
·
Discuss:
Substack
📡
gRPC
AI-augmented
data quality engineering
infoworld.com
·
23h
🤖
Machine Learning
Structure Beats
Prose
:
Specs
for Coding Agents That Actually Work
medium.com
·
2h
·
Discuss:
Hacker News
🌐
WebAssembly
Pratt
Parsers
: Expression Parsing Made Easy
journal.stuffwithstuff.com
·
2d
♟
Chess Programming
What I've Learned From
Digitizing
20 Million
Historical
Documents
noahdasanaike.github.io
·
19h
·
Discuss:
r/LocalLLaMA
🤖
Machine Learning
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