Splet23. apr. 2024 · Few-shot learning is about helping a machine learning model make predictions thanks to only a couple of examples. No need to train a new model here: models like GPT-3, GPT-J and GPT-NeoX are so big that they can easily adapt to many contexts without being re-trained. ... GPT-J is very good at this, as long as you give it the right … Splet14. jun. 2024 · Fine tuning - Training a model for intent classification and then fine tuning it on a different dataset. Few shot learning - Training a language model on large text …
Meta-Learning for Few-Shot NMT Adaptation - ACL Anthology
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