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hbseongĀ 
posted an update 6 months ago
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759
šŸšØšŸ”„ HOT MODEL accepted at ICLR!! Currently 2137 downloads!!! šŸ”„šŸšØ

Introducing the 435M model that outperforms Llama-Guard-3-8B while slashing 75% of the computation cost! šŸ’»šŸ’„
šŸ‘‰ Check it out:
hbseong/HarmAug-Guard
(Yes, INFERENCE CODE INCLUDED! šŸ’”)

More details in our paper: https://arxiv.org/abs/2410.01524 šŸ“œ

#HarmAug #LLM # Safety #EfficiencyBoost #Research #AI #MachineLearning
hbseongĀ 
posted an update 8 months ago
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958
šŸšØšŸ”„ HOT MODEL!! Currently 870 downloads!!! šŸ”„šŸšØ

Introducing the 435M model that outperforms Llama-Guard-3-8B while slashing 75% of the computation cost! šŸ’»šŸ’„
šŸ‘‰ Check it out: hbseong/HarmAug-Guard (Yes, INFERENCE CODE INCLUDED! šŸ’”)

More details in our paper: https://arxiv.org/abs/2410.01524 šŸ“œ

#HarmAug #LLM # Safety #EfficiencyBoost #Research #AI #MachineLearning
  • 1 reply
Ā·
hbseongĀ 
posted an update 8 months ago
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Post
935
šŸšØšŸ”„ New Release Alert! šŸ”„šŸšØ

Introducing the 435M model that outperforms Llama-Guard-3-8B while slashing 75% of the computation cost! šŸ’»šŸ’„
šŸ‘‰ Check it out: hbseong/HarmAug-Guard (Yes, INFERENCE CODE INCLUDED! šŸ’”)

More details in our paper: https://arxiv.org/abs/2410.01524 šŸ“œ

#HarmAug #LLM # Safety #EfficiencyBoost #Research #AI #MachineLearning
  • 1 reply
Ā·
hbseongĀ 
posted an update 9 months ago
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Post
3307
šŸšØšŸ”„ New Release Alert! šŸ”„šŸšØ

Introducing the 435M model that outperforms Llama-Guard-3-8B while slashing 75% of the computation cost! šŸ’»šŸ’„
šŸ‘‰ Check it out: hbseong/HarmAug-Guard (Yes, INFERENCE CODE INCLUDED! šŸ’”)

More details in our paper: https://arxiv.org/abs/2410.01524 šŸ“œ

#HarmAug #LLM # Safety #EfficiencyBoost #Research #AI #MachineLearning
hbseongĀ 
posted an update 9 months ago
view post
Post
1201
šŸšØšŸ”„ New Release Alert! šŸ”„šŸšØ

Introducing the 435M model that outperforms Llama-Guard-3-8B while slashing 75% of the computation cost! šŸ’»šŸ’„
šŸ‘‰ Check it out: hbseong/HarmAug-Guard (Yes, INFERENCE CODE INCLUDED! šŸ’”)

More details in our paper: https://arxiv.org/abs/2410.01524 šŸ“œ

#HarmAug #LLM # Safety #EfficiencyBoost #Research #AI #MachineLearning