Amazon’s 20B-Parameter Alexa Model Sets New Marks In Few-Shot Learning Along With Low Carbon Footprint During Training (One-Fifth of GPT-3’s)

Some of the most significant developments in AI have come through supervised learning. It speaks about computer learning models that have been trained using annotated data. However, reliance on data annotation is increasingly untenable as the size of commercial AI models grows. The new paradigm of generalizable intelligence, in which models can pick up new […]

The post Amazon’s 20B-Parameter Alexa Model Sets New Marks In Few-Shot Learning Along With Low Carbon Footprint During Training (One-Fifth of GPT-3’s) appeared first …

ai paper summary ai shorts alexa amazon applications artificial intelligence carbon carbon footprint country editors pick few-shot learning gpt gpt-3 language model learning machine learning staff tech news technology training unicorns usa