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The expanding use of generative-AI applications has increased the demand for accurate, cost-effective large language models (LLMs). LLMs’ costs vary significantly based on their size, typically...
Large language models (LLMs) can generate extremely fluent natural-language texts, and fluency can trick the human mind into neglecting the quality of the content. For example,...
Until the recent, astonishing success of large language models (LLMs), research on dialogue-based AI systems pursued two main paths: chatbots, or agents capable of open-ended conversation,...
The documents used to train a large language model (LLM) are typically concatenated to form a single “superdocument”, which is then divided into sequences that match...
Amazon’s papers at the International Conference on Machine Learning (ICML) lean — like the conference as a whole — toward the theoretical. Although some papers deal...
The field of machine learning is evolving at a rapid pace, with the regular release of new models that promise improvements over their predecessors. Evaluating a...
In the past few years, foundation models and generative-AI models — and particularly, large language models (LLMs) — have become a major topic of AI research....
Although there are hundreds of millions of products stored in Amazon fulfillment centers, it’s very rare for customers to report shipped products as damaged. However, Amazon’s...
At the Amazon Store, we strive to deliver the product recommendations most relevant to customers’ queries. Often, that can require commonsense reasoning. If a customer, for...
One of the great attractions of large language models (LLMs) is that they encode information about the real world. But the world is constantly changing, and...