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May 15
Meta’s Imagine Flash: Pioneering Ultra-Fast and High-Fidelity Images Generation Within 3 Steps
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Jan 24, 2023
Forget About Catastrophic Forgetting: Google’s Continual HyperTransformer Enables Efficient Continual Few-Shot…
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Oct 25, 2022
DeepMind Study Shows That Language Models Can Learn From Explanations in Context Even Without Tuning
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Oct 12, 2022
‘Ask Me Anything’: Stanford U, Numbers Station &
UW Madison’s Novel Prompting Strategy Enables LLMs With 30x Fewer
…
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Sep 27, 2022
Google’s Promptagator Creates Task-Specific Neural Retrievers From Only 8 Examples
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May 4, 2022
DeepMind’s Flamingo Visual Language Model Demonstrates SOTA Few-Shot Multimodal Learning Capabilities
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Apr 6, 2022
Google Trains a 540B Parameter Language Model With Pathways, Achieving ‘Breakthrough Performance’
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Nov 8, 2021
Introducing MetaICL: A Language Model Meta-Training Framework for Few-Shot In-Context Learning
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Oct 14, 2021
Google Researchers Explore the Limits of Large-Scale Model Pretraining
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Sep 23, 2021
UMass Amherst
& Google Improve Few-Shot Learning on NLP Benchmarks via Task Augmentation and Self-Training
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