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🤖 LLM
Large Language Models, GPT, Transformers, Prompt Engineering
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103322
posts in
269.7
ms
Understanding LLM Failures: A Multi-Tape
Turing
Machine Analysis of
Systematic
Errors in Language Model Reasoning
arxiv.org
·
1d
🎛️
Fine-tuning
rllm-org/rllm
:
Democratizing
Reinforcement Learning for LLMs
github.com
·
12h
🎛️
Fine-tuning
Show HN:
Expectllm
– "expect"-style pattern matching for LLM
conversations
github.com
·
9h
·
Discuss:
Hacker News
✍️
Prompt Engineering
One year of LLM
usage
with
Clojure
iwillig.me
·
1h
✍️
Prompt Engineering
Exposing biases,
moods
,
personalities
, and abstract concepts hidden in large language models
news.mit.edu
·
1d
·
Discuss:
Hacker News
🎛️
Fine-tuning
Exploring LLMs for User Story
Extraction
from
Mockups
arxiv.org
·
20h
🎛️
Fine-tuning
Why
RL
Feedback Fails Language Models (And What
ERL
Fixes)
hackernoon.com
·
1d
🎛️
Fine-tuning
Compare,
Blend
, and Judge LLM
Outputs
from One API
llmwise.ai
·
7h
·
Discuss:
Hacker News
🎛️
Fine-tuning
ΛProlog
:
Logic
programming in higher-order
logic
lix.polytechnique.fr
·
2h
·
Discuss:
Hacker News
✍️
Prompt Engineering
Building a Simple SQL
Query
Generator
Using LLMs
pub.towardsai.net
·
2h
🐍
Python
LLMs and
Programming
in the first days of 2024
antirez.com
·
8h
·
Discuss:
Hacker News
✍️
Prompt Engineering
🔗 Type
inference
of all
constructs
and the next 15 months
yellowduck.be
·
7h
⚡
Jax
How will we do
SFT
on models with
opaque
reasoning?
lesswrong.com
·
1h
🎮
Reinforcement Learning
OPUS
: Smarter Data
Sampling
for Faster, Better LLM Pre-Training
hackernoon.com
·
1d
🎛️
Fine-tuning
What Is LLM
Grounding
? A Developer's Guide
dev.to
·
3h
·
Discuss:
DEV
✍️
Prompt Engineering
Achieving
More With Less Using Token
Compression
edgee.ai
·
1d
·
Discuss:
Hacker News
✍️
Prompt Engineering
Building a
Self-Improving
AI Support Agent with
Langfuse
analyticsvidhya.com
·
9h
🎛️
Fine-tuning
Consistency
diffusion language models: Up to 14x faster inference without
sacrificing
quality
together.ai
·
2d
·
Discuss:
Hacker News
,
r/LocalLLaMA
,
r/programming
🎛️
Fine-tuning
Lil
' Fun
Langs
taylor.town
·
1d
·
Discuss:
Lobsters
,
Hacker News
⚡
Jax
The long
tail
of LLM-assisted
decompilation
blog.adafruit.com
·
4d
🎛️
Fine-tuning
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