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DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Paper • 2309.03883 • Published • 35 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 52 -
Agents: An Open-source Framework for Autonomous Language Agents
Paper • 2309.07870 • Published • 42 -
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Paper • 2309.00267 • Published • 51
lckr
lckr
AI & ML interests
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Organizations
Ilya's papers for Carmack
Ilya Sutskever: "If you really learn all of these, you’ll know 90% of what matters today." Full list: https://punkx.org/jackdoe/30.html
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Recurrent Neural Network Regularization
Paper • 1409.2329 • Published • 1 -
Pointer Networks
Paper • 1506.03134 • Published • 1 -
Order Matters: Sequence to sequence for sets
Paper • 1511.06391 • Published • 1 -
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
Paper • 1811.06965 • Published • 1
random_papers
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DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Paper • 2309.03883 • Published • 35 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 52 -
Agents: An Open-source Framework for Autonomous Language Agents
Paper • 2309.07870 • Published • 42 -
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Paper • 2309.00267 • Published • 51
Ilya's papers for Carmack
Ilya Sutskever: "If you really learn all of these, you’ll know 90% of what matters today." Full list: https://punkx.org/jackdoe/30.html
-
Recurrent Neural Network Regularization
Paper • 1409.2329 • Published • 1 -
Pointer Networks
Paper • 1506.03134 • Published • 1 -
Order Matters: Sequence to sequence for sets
Paper • 1511.06391 • Published • 1 -
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
Paper • 1811.06965 • Published • 1
models
0
None public yet