The appearance of predictive text in writing an email or text message has become, for better or worse, a regular feature of our lives, saving us time by seamlessly filling in a word before we can type ...
Large Language Models (LLMs) have evolved far beyond their initial role as next-word predictors. Recent research, particularly from Anthropic, sheds light on the sophisticated mechanisms driving these ...
As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...
Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates ...
A new study combines Large Language Models and behavioral mathematics to analyze human decision-making text data at scale.
Thus far, even AI companies have had trouble coming up with tools that can reliably detect when a piece of writing was generated using a large language model. Now, a group of researchers has ...
It’s time to move past large language models and create a new narrative. The hiccups we’ve experienced from large language models and generative AI — a still-novel technology — since its inception a ...
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Why LLMs are actually pretty bad at math
Large language models can write essays, summarize legal clauses, explain ancient history, draft emails, and produce code that looks impressively official. Then you ask one to multiply two awkward ...
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