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lucidrains
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PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
MIT License
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A bug in the implementation of the top-p sampling
#60
allblueJT
opened
1 month ago
0
Is there any documentation to train this on my own data ?
#59
gauravgandhi1315
opened
9 months ago
0
How to use lora?
#58
xiaoguzai
opened
9 months ago
0
Should critic's input be prompt only?
#57
ginward
opened
12 months ago
0
Possible incorrect creation of Rotary Embeddinigs
#56
AndyBarcia
closed
1 year ago
1
Update train.py
#55
the-lord-nothing
closed
1 year ago
0
Flash Attention 2
#54
conceptofmind
closed
4 months ago
0
implement an argument to directly set ff_inner_dim
#52
chris-ha458
opened
1 year ago
3
I looked at the llama source code and there is an intermedie layer
#51
wac81
opened
1 year ago
0
Create 那个
#50
userodk
closed
1 year ago
0
Model Name
#49
conceptofmind
closed
1 year ago
3
memory-efficient attention is default opened? if i dont use flash attn
#48
wac81
opened
1 year ago
3
speed up with flash attn in A6000?
#47
wac81
closed
1 year ago
2
norm.gamma not used during backprop
#46
conceptofmind
closed
1 year ago
2
i use other params with palm, but got error
#45
wac81
closed
1 year ago
4
Column and Row Parallel Linear for Apex Tensor Parallel
#44
conceptofmind
closed
1 year ago
1
Calculating the kl loss seems has a mistake.
#43
Nightbringers
closed
1 year ago
1
Reason for using pooled critic embedding instead of the last embedding for value head
#42
gblackout
closed
1 year ago
3
Confusion about KL divergence calculation for human feedback policies
#41
dwyzzy
closed
1 year ago
13
Add PyTorch 2.0 Flash Attention
#40
conceptofmind
closed
1 year ago
17
mask raised error
#39
gongel
closed
1 year ago
2
KL divergence loss
#38
taynoel
closed
1 year ago
1
train your reward model issue
#37
wac81
opened
1 year ago
1
Can not train the model using PyTorch version 2?
#36
linhduongtuan
closed
1 year ago
1
Value function
#35
tonylin52
opened
1 year ago
0
test chat
#34
strint
closed
1 year ago
0
Is it possible to train this ai using open-assistant or vice versa?
#33
qwertystars
closed
1 year ago
1
Can we exploiting AGI ability of chatGPT ?
#32
youkpan
closed
1 year ago
0
Is this shift right for the action logits?
#31
kisseternity
closed
1 year ago
4
Do you need cuda for this?
#30
beew
closed
1 year ago
1
Are there some pictures that describe PaLM architecture?
#29
guotong1988
closed
1 year ago
1
value function input
#28
kkissmart
closed
1 year ago
1
KL_div/ratio on policy
#26
kkissmart
closed
1 year ago
0
Is it possible to replace PaLM with other huggingface pretrained language model?
#24
noanti
opened
1 year ago
2
✨ 😅 Is possibale to use the ChatGPT of OpenAI to train this ChatGPT?
#23
Yonv1943
opened
1 year ago
8
The loss function of reward model.
#22
huzechuan
opened
1 year ago
2
A few questions on training
#21
aakashrkumar
opened
1 year ago
3
How to fine-tune and train on my own data?
#20
rbhatia46
opened
1 year ago
0
Training the reward model
#19
farhad-abdi
closed
1 year ago
8
PaLM-rlhf-pytorch Roadmap
#18
HappyPony
closed
1 year ago
4
Help with computational power
#17
byteunix
closed
1 year ago
4
Is it possible to release a code based on jax?
#16
sglucas
closed
1 year ago
7
Simple Web Interface
#15
conceptofmind
closed
1 year ago
2
Why the value calculate in generate and learn use different mask？
#14
Nightbringers
closed
1 year ago
1
Palm
#13
Phob3tor
closed
1 year ago
0
Can we just replace PPO+RLHF with a preference models thats basically a transformer encoder + sigmoid model, trained with BCE. And during finetuning perform a reward maximization by just making the reward model predict 1s?
#12
ssintelli
closed
1 year ago
5
I'm dumb
#11
cardonasMind
closed
1 year ago
1
Bug fix: Correct function call in RewardModel->finetune_parameters
#10
QasimWani
closed
1 year ago
2
Can I train a model on my own data?
#9
sveisa
closed
1 year ago
1
Noob question: How can I use this model for inference?
#8
PrasoonPratham
closed
1 year ago
1
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