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The last few years have seen a substantial shift in research focused on Large Language Models (LLMs), with steady advancements in the field. LLMs excel at ...
Now, though, a new study from six Apple engineers shows that the mathematical "reasoning" displayed by advanced large language models can be ... when tested on GSM-Symbolic as GSM8K.
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Tech Xplore on MSNNeurosymbolic AI is the answer to large language models' inability to stop hallucinatingThe main problem with big tech's experiment with artificial intelligence (AI) is not that it could take over humanity. It's ...
AI based on large language models poses risks to Web3 principles. Enter NeuroSymbolic AI, which offers greater auditability ...
To assess the intelligence of the large language models, I reviewed research comparing their scores on various intelligence tests in reasoning, creativity, analysis, math, and ability to follow ...
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The recent launch of reasoning model technology transformed the AI business at a stroke.The new methodology involves giving AI models the time to think about their initial response, evaluate and ...
Researchers identified two consistent failure modes in LLM reasoning: overcomplication and overlooking. In the ...
and reasoning complexity. One of the more notable developments comes from Dynex, a Liechtenstein-based firm that recently unveiled its Quantum Diffusion Large Language Model (qdLLM) as a finalist ...
Unlike most AI coding tools that rely solely on Large Language Models (LLMs ... goes beyond generative AI—using symbolic mathematical reasoning to ensure code actually behaves as intended." ...
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