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💬 Natural Language Processing
Text Analysis, Language Models, Transformers, Tokenization
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120790
posts in
455.2
ms
Graph
algebra
en.wikipedia.org
·
2d
📊
Data Science
Knowledge graphs for metadata on training at
ELIXIR
BioHackathon
Europe 2025
software.ac.uk
·
3d
🌿
Digital Gardens
Generative
Type
experiments
brendandawes.com
·
2d
🤖
AI
New comment by
cchavez
in "Ask HN: Who wants to be
hired
? (February 2026)"
cchavez-portfolio.vercel.app
·
2d
·
Discuss:
Hacker News
📝
NLP
Our Work on The Damascus Dossier – The Data and Research Center –
DARC
is an independent organization providing
bespoke
data and research services for investiga...
dataresearchcenter.org
·
2d
📝
NLP
The logos,
ethos
, and
pathos
of your LLMs
stackoverflow.blog
·
2d
💬
Prompt Engineering
Humanity
's last
programming
language
xeiaso.net
·
2d
·
Discuss:
Lobsters
,
Hacker News
📝
NLP
25W06
. Learning a language with the machine
z1nz0l1n.com
·
4d
🗣️
LLMs
rss.livelink.threads-in-node
: Choosing the Right Model in GitHub Copilot: A Practical Guide for Developers
techcommunity.microsoft.com
·
2d
💬
Prompt Engineering
Data
Modeling
Is
Changing
ssp.sh
·
2d
·
Discuss:
Hacker News
🧠
Machine Learning
An approach to
reducing
prompt size,
drift
, and governance risk in LLM-based systems
qu3ry.net
·
2d
·
Discuss:
r/LLM
💬
Prompt Engineering
A
GTM
guide to AI models
revengine.substack.com
·
4d
·
Discuss:
Substack
💬
Prompt Engineering
🥇Top AI
Papers
of the Week
nlp.elvissaravia.com
·
3d
💬
Prompt Engineering
Post-AI Era: Will the
Spiral
of Strong vs. Weak
Presuppositions
Continue?
medium.com
·
3d
·
Discuss:
r/programming
📝
NLP
Stanford
AI Breakthrough: Unlock ChatGPT
Creativity
medium.com
·
3d
💬
Prompt Engineering
Introspective
Interpretability
: a Definition, Motivation, and Open Problems
lesswrong.com
·
2d
🗣️
LLMs
Monday AI
Radar
#12
lesswrong.com
·
2d
🤖
AI
toviszsolt/qar
: MongoDB-style queries for plain JavaScript arrays. Simple, lightweight, and perfect for JS Apps, static sites, and JSON data.
github.com
·
1d
·
Discuss:
Hacker News
🐚
Shell Scripting
Versor
: A Geometric
Sequence
Architecture
arxiv.org
·
8h
💬
Prompt Engineering
Beyond the Hype:
Implementing
Neural Networks in Your
Backend
Workflow
dev.to
·
1d
·
Discuss:
DEV
💬
Prompt Engineering
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