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馃挰 LLMs
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large language models, GPT, Claude, foundation models
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185822
posts in
24.5
ms
Multilingual
and Multimodal LLMs in the Wild: Building for Low-Resource
Languages
聽
馃
Machine Learning
arxiv.org
路
1d
Large Language Model LLM Advanced Prompt
Clinical
Research
Auxiliary
Research
聽
馃
Machine Learning
medium.com
路
5d
The David and
Goliath
Paradigm
: Comparing Small and Large Language Models
聽
馃
Machine Learning
hpcwire.com
路
2h
Explore LLM word
representations
using
similarity
analysis (part 2)
聽
馃
Machine Learning
thepalindrome.org
路
11h
AI Paper Review: Language Models are Few-Shot
Learners
(
GPT-3
)
聽
馃
Machine Learning
freecodecamp.org
路
2d
Four-Tier Memory
Hierarchy
for LLM Reasoning (USC,
UW
)
聽
馃敩
Quantum Computing
semiengineering.com
路
4h
Why
Shrinking
an AI Model
Often
Makes It More Useful
聽
馃
Machine Learning
siliconopera.com
路
14h
A
primer
on how large language model works
聽
馃
Machine Learning
mayijie.substack.com
路
4d
路
Substack
Claude
Tutorial
for
Beginners
Learn with Real Use Cases
聽
馃
AI
acte.in
路
1d
Does Your Project Need an LLM, Machine Learning or
Statistics
?
聽
馃
Machine Learning
builtin.com
路
3h
Generalization
Dynamics of
LM
Pre-Training
聽
馃
Machine Learning
jiaxin-wen.github.io
路
20h
路
Hacker News
Training a small model to write better
OCaml
with
RLVR
and GRPO
聽
馃
Machine Learning
blog.nilenso.com
路
4h
路
Hacker News
Context
pruning
: cut LLM
tokens
without losing quality (9 minute read)
聽
馃
Machine Learning
redis.io
路
2d
8
Architectural
Pillars
to Boost GenAI LLM Accuracy and Performance in Low Cost
聽
馃
Machine Learning
techcommunity.microsoft.com
路
4d
lechmazur/writing
: This benchmark tests how well LLMs
incorporate
a set of 10 mandatory story elements (characters, objects, core concepts, attributes, motivations, etc.) in a short creative story
聽
馃
Machine Learning
github.com
路
6h
路
r/singularity
Training a 22MB prompt
injection
classifier
聽
馃
Machine Learning
stackone.com
路
7h
路
Hacker News
Persuading
large language models to comply with
objectionable
requests
聽
馃
Machine Learning
pnas.org
路
1d
I stress-tested DeepSeek vs Gemini on
800k
contexts. Found a weird "
Inverted
Attention" curve and a simple fix for tag degradation
聽
馃
Machine Learning
zingzingsoftworks.com
路
11h
路
r/PromptEngineering
Building Prompt
Libraries
to Scale Generative AI
Responsibly
聽
馃
AI
news.stthomas.edu
路
4h
How LLM
Inference
Works
聽
馃
Machine Learning
arpitbhayani.me
路
6d
路
Hacker News
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