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openai
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weak-to-strong
MIT License
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Tejes dev
#42
tejess
closed
3 months ago
0
Suhaas reqs
#41
spknash
closed
3 months ago
0
Plotting loss curves.
#40
elezovic-natalia
opened
3 months ago
0
Dang dev
#39
dangng2004
closed
3 months ago
0
Natalia weak to strong
#38
elezovic-natalia
opened
3 months ago
0
Why are only binary classification tasks tested for NLP?
#37
sev777
opened
3 months ago
0
Training stopping criteria: fixed epochs ?
#36
Aakriti05
opened
4 months ago
0
How to use GPT-4 as strong model
#35
sr5434
opened
5 months ago
1
Some questions about the anthropic_hh dataset results
#34
rgreenblatt
opened
5 months ago
0
Fix confidence loss to scale up correctly
#33
RobertKirk
opened
6 months ago
0
modify config.json to training_config.json, preventing overwriting mo…
#32
JamesKrW
closed
1 month ago
0
Bugfix: last minibatch padding
#31
ojh31
closed
6 months ago
0
I created a code for "autonomous AI". But since I'm an amateur, I don't know how to implement it.
#30
LineaLinelis
closed
6 months ago
0
Support LM head finetuning
#29
AlexTMallen
closed
7 months ago
0
Support LoRA
#28
AlexTMallen
closed
7 months ago
1
Create a search based document for weak-to-strong
#27
James4Ever0
closed
7 months ago
1
fix mini_batch_size being referenced before assignment (openai#25)
#26
philipkd
closed
7 months ago
1
UnboundLocalError: local variable 'minibatch_size' referenced before assignment
#25
philipkd
closed
7 months ago
0
Machine learning newbie hopes to get help
#24
snowkcon
closed
7 months ago
5
сhanged concatenation of strings to f-strings to improve readability …
#23
eukub
closed
7 months ago
0
fix unexpected kwarg 'bf16' and 'fp32' when initializing
#22
zhxieml
closed
7 months ago
0
TypeError: 'type' object is not subscriptable
#21
zgimszhd61
closed
7 months ago
1
Unexpected keyword argument 'bf16' : Modified train.py to handle exceptions appropriately
#20
srivhash
closed
7 months ago
2
Will you guys be releasing code for step 2 of the methodology "Train a strong student model with weak supervision."
#19
hoalarious
closed
8 months ago
2
avoid adding bf16 custom kwargs unless specified by the user
#18
agokrani
closed
8 months ago
3
what's the meaning of fraction of GPT4?
#17
ljch2018
closed
8 months ago
2
Pavel/vision
#16
pavel-izmailov
closed
8 months ago
0
The schedule.step() should be called outside the dataloader loop.
#15
wangguanan
opened
8 months ago
3
pyproject.toml minor fix
#14
ValdonVitija
closed
8 months ago
1
Some thoughts
#13
SEU-zxj
closed
8 months ago
1
Exploring Weak to Strong Generalization from a pre-training standpoint
#12
rokosbasilisk
opened
8 months ago
4
Unexpected keyword argument 'bf16'
#11
agokrani
closed
7 months ago
14
Preprocessed Chess Puzzle Data
#10
y12uc231
opened
8 months ago
4
Update README.md
#9
eltociear
closed
8 months ago
0
Dependencies import error
#8
srivhash
closed
8 months ago
0
Enhance clear_mem function readability and precision
#7
Nagi-ovo
closed
8 months ago
0
Protect main branch and make changes through pull requests
#6
EwoutH
closed
8 months ago
1
Integrate dependencies into pyproject.toml
#5
EwoutH
closed
8 months ago
1
Code refactoring and formatting Improvements
#4
EwoutH
closed
7 months ago
2
Observing eval accuracy considerably lower than reported?
#3
knagrecha
opened
8 months ago
12
Clean unused imports
#2
zachschillaci27
closed
8 months ago
2
hi guys!
#1
MadcowD
opened
8 months ago
6