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🎛️ Fine-tuning
LoRA, Model Training, LLM Adaptation
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7557
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AutoQRA
: Joint Optimization of Mixed-Precision Quantization and Low-rank
Adapters
for Efficient LLM Fine-Tuning
arxiv.org
·
1d
🎯
Fine-Tuning
Instant LLM Updates with
Doc-to-LoRA
and
Text-to-LoRA
pub.sakana.ai
·
20h
·
Discuss:
Lobsters
,
Hacker News
🎯
Fine-Tuning
Sparse Activation in
MoE
Models: Extending
ReLUfication
to Mixture-of-Experts
hackernoon.com
·
16h
💬
LLMs
Accuracy
vs. Speed in Local LLMs: Finding Your
Sweet
Spot
grigio.org
·
6h
·
Discuss:
Hacker News
🎯
Fine-Tuning
The
Topology
of LLM
Behavior
lesswrong.com
·
15h
🎯
RLHF
NoRA
: Breaking the Linear Ceiling of Low-Rank Adaptation via
Manifold
Expansion
arxiv.org
·
1d
🎯
Fine-Tuning
Asura
:
Looped
Language Models done better
neel04.github.io
·
2d
·
Discuss:
Hacker News
💬
LLMs
Sakana AI Introduces Doc-to-LoRA and Text-to-LoRA:
Hypernetworks
that Instantly
Internalize
Long Contexts and Adapt LLMs via Zero-Shot Natural Language
marktechpost.com
·
22h
🎯
Fine-Tuning
Reinforcement
Learning for LLMs
mesuvash.github.io
·
2d
·
Discuss:
Hacker News
🎯
RLHF
Claude Skills and
Subagents
: Escaping the Prompt Engineering
Hamster
Wheel
towardsdatascience.com
·
1h
✍️
Prompt Engineering
Can LLM
Embeddings
Improve Time Series
Forecasting
? A Practical Feature Engineering Approach
machinelearningmastery.com
·
1d
⚡
Speculative Decoding
Unsloth
Dynamic 2.0
GGUFs
unsloth.ai
·
7h
·
Discuss:
Hacker News
,
r/LocalLLaMA
⚙️
MLOps
LLM-Based Evolution as a
Universal
Optimizer
imbue.com
·
18h
·
Discuss:
Hacker News
⚡
Code Generation
VLM
Validation
and Document Intelligence
pub.towardsai.net
·
19h
🤖
Machine Learning
Zero to Autonomous: Master
ROS
2 and AI with
MentorPi
hackster.io
·
1d
🎯
AI Agents
Profile-guided
optimization
go.dev
·
15h
⚙️
MLOps
From "Vibe
Checks
" to
Continuous
Evaluation: Engineering Reliable AI Agents
cloud.google.com
·
23h
🎯
AI Agents
TurboSparse-LLM
Performance: Outperforming
Mixtral
and Gemma with Extreme Sparsity
hackernoon.com
·
15h
⚡
Speculative Decoding
Optimizing
Deep Learning Models with SAM
towardsdatascience.com
·
4d
📈
Optimization
The 5
Vector
Databases
for RAG: How to Give Your LLM Perfect Memory at Million-Scale
pub.towardsai.net
·
17h
💬
LLMs
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