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🗣️ LLMs
Large Language Models, GPT, Transformers, Prompting
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83251
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736.9
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Large Language Models (LLMs):
Navigating
the Future
dev.to
·
2d
·
Discuss:
DEV
💬
Prompt Engineering
On the use of LLMs to
generate
a
dataset
of Neural Networks
arxiv.org
·
2d
💬
Prompt Engineering
StatLLM
: A Dataset for Evaluating the Performance of Large Language Models in
Statistical
Analysis
nature.com
·
1d
💬
Natural Language Processing
Time-LLM and the AI
Chatbot
timesofindia.indiatimes.com
·
17h
💬
Prompt Engineering
A
GTM
guide to AI models
revengine.substack.com
·
4h
·
Discuss:
Substack
💬
Prompt Engineering
A Human-in-the-Loop,
LLM-Centered
Architecture for Knowledge-Graph Question
Answering
arxiv.org
·
1d
💬
Prompt Engineering
Understanding LLM Inference
Engines
: Inside
Nano-vLLM
(Part 2)
neutree.ai
·
1d
·
Discuss:
Hacker News
💬
Prompt Engineering
What do LLMs think when you don't
tell
them what to think about?
together.ai
·
2d
💬
Prompt Engineering
Achieving
Ultra-Fast AI Chat
Widgets
cjroth.com
·
2h
·
Discuss:
Hacker News
💬
Prompt Engineering
When Language Models Get Stuck: The Mechanics of
Repetition
Loops
pub.towardsai.net
·
22h
💬
Prompt Engineering
Mechanistic
Interpretability:
Peeking
Inside an LLM
towardsdatascience.com
·
2d
💬
Prompt Engineering
NotebookLM is great, but
pairing
it with
LM
Studio made it even better
xda-developers.com
·
11h
💬
Prompt Engineering
Rebuilding
the
spellchecker
zverok.space
·
5h
⌨️
Mechanical Keyboards
Building a Simple “Chat with Your
Documents
”
GenAI
App (End-to-End)
dev.to
·
18h
·
Discuss:
DEV
💬
Prompt Engineering
The Machine
Learned
Our Language
medium.com
·
14h
·
Discuss:
r/programming
💬
Prompt Engineering
Prompt injection in Google
Translate
reveals base model
behaviors
behind task-specific fine-tuning
lesswrong.com
·
10h
·
Discuss:
Hacker News
💬
Prompt Engineering
Optimized
LLM Inference
Engines
rishirajacharya.com
·
3d
💬
Prompt Engineering
Are
LTMs
the next LLMs? This new
type
of AI can do what large-language models can’t
fastcompany.com
·
2d
💬
Prompt Engineering
Pratt
Parsers
: Expression Parsing Made Easy
journal.stuffwithstuff.com
·
6h
💬
Natural Language Processing
Finding the needle in the
logstack
: Reducing LLM context with
TF-IDF
eliseomartelli.it
·
2d
💬
Prompt Engineering
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