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⚙️ Model Fine-tuning
Transfer Learning, LoRA, PEFT, Adapter Training
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121025
posts in
759.2
ms
The 4
Parameter-Efficient
Fine-Tuning Methods: How to
Adapt
LLMs 100× Faster
pub.towardsai.net
·
1d
🚀
MLOps
Training Data from Real-World Sources
lightningrod.ai
·
16h
📝
Natural Language Processing
Learning Rate Scaling across
LoRA
Ranks and Transfer to Full
Finetuning
arxiv.org
·
3d
🤖
Transformers
Robotics
Motion Learning: Training Linked Robot Arms with
Kuramoto
Models
hackernoon.com
·
22h
🤖
AI
Beware of the Batch Size:
Hyperparameter
Bias in Evaluating
LoRA
arxiv.org
·
1d
🚀
MLOps
A training
principle
for
drifting
models
breno.bearblog.dev
·
3h
🧠
Machine Learning
Mastering
Model Adaptation: A Guide to
Fine-Tuning
on Google Cloud
cloud.google.com
·
1d
🚀
MLOps
Training A Small Language Model To
Outperform
Frontier Models On
CRM-Arena
neurometric.substack.com
·
2h
·
Discuss:
Substack
📈
Model Evaluation
UbiquitousLearning/mllm
: Fast Multimodal LLM on Mobile Devices
github.com
·
5h
🚀
MLOps
Learning Optimization Tools
trendhunter.com
·
2d
🧠
Machine Learning
Prime
Intellect
Lab: a
full-stack
platform for training your own models
primeintellect.ai
·
15h
·
Discuss:
Hacker News
🚀
MLOps
The 4 Mixture of Experts Architectures: How to Train
100B
Models at
10B
Cost
pub.towardsai.net
·
1h
🤖
Transformers
EyesOff
: Why Some Models
Quantize
Better Than Others
ym2132.github.io
·
15h
·
Discuss:
Hacker News
🤖
AI
How
Transformer
Architecture
Powers
LLMs
dev.to
·
1h
·
Discuss:
DEV
🤖
Transformers
Beyond the
Prompt
- Why and How to
Fine-tune
Your Own Models
devblogs.microsoft.com
·
21h
🚀
MLOps
Researchers propose a self-distillation fix for ‘
catastrophic
forgetting
’ in LLMs
infoworld.com
·
4h
⛓️
LangChain
Ai’s ‘
steering
’ Made Far More
Precise
With New Fine-Tuning Technique
quantumzeitgeist.com
·
2d
⛓️
LangChain
The Role of
Supervised
Fine-Tuning
in AI
hackernoon.com
·
2d
🧠
Machine Learning
Scale LLM fine-tuning with
Hugging
Face and Amazon
SageMaker
AI
aws.amazon.com
·
2d
🚀
MLOps
N-Grams
and Other
Experiments
dotterrer.bearblog.dev
·
21h
📝
Natural Language Processing
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