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q=https%3A%2F%2Fwww.amazon.science%2Fblog%2Fdo-large-language-models-understand-the-world from www.amazon.science
In this essay, we will argue that language models not only can but do represent meanings. Probability space. At Amazon Web Services (AWS), we have been ...
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Learn more about the science behind large language models used across Alexa and AWS, and the research from Amazon scientists in the field of generative AI.
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Large language models (LLM) are very large deep learning models that are pre-trained on vast amounts of data. The underlying transformer is a set of neural ...
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q=https%3A%2F%2Fwww.amazon.science%2Fblog%2Fdo-large-language-models-understand-the-world from www.amazon.science
Do large language models really need all those layers? Finding that 70% of attention heads and 20% of feed-forward networks can be excised with minimal effect ...
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Feb 15, 2024 · Can large language models (LLMs) — trained only to predict the next word in a sequence — grasp the meanings of texts they generate? Amazon ...
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q=https%3A%2F%2Fwww.amazon.science%2Fblog%2Fdo-large-language-models-understand-the-world from www.amazon.science
Prompt engineering enables researchers to generate customized training examples for lightweight “student” models.
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Large language models (LLMs) are known to generate biased responses where the opinions of certain groups and populations are underrepresented.
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q=https%3A%2F%2Fwww.amazon.science%2Fblog%2Fdo-large-language-models-understand-the-world from www.forbes.com
Mar 1, 2024 · Ever since these models appeared, researchers have debated whether they are capable of understanding and will eventually be smarter than us.
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