This is the third and final piece in a series examining the most effective uses of LLMs and why a more holistic approach to AI combined with different forms of…
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This is the second piece in a series examining the most effective uses of LLMs and why a more holistic approach to AI combined with different forms of reasoning is…
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This is the first piece in a series examining the most effective uses of LLMs and why a more holistic approach to AI that combines formal, efficient reasoning systems with…
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There have been many versions of how Elemental Cognition was founded cropping up recently, and I am flattered by the interest but also excited to share my personal story. It’s…
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Perils of doing mission-critical research with a Large Language Model Recently, a NY law firm was in the news for the wrong reasons – the firm’s lawyer used ChatGPT to…
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In an earlier post, we discussed the recent progress of large language models (LLMs). We discussed how they are impressively fluent and creative, but struggle with precise and correct reasoning.…
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The power of adding precision and logic to Large Language Models. The popularity of ChatGPT has brought large language models (LLMs) and generative AI into the popular vernacular. LLMs generate…
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To realize their full potential, they must be augmented with logical reasoning. As demonstrated by the recent release of ChatGPT, the evolution of language models over the past few years…
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We are thrilled that Elemental Cognition’s latest research – Braid: Weaving Symbolic and Neural Knowledge Into Coherent Logical Explanations – was selected for publication for the AAAI-22 Conference. In light…
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When Elemental Cognition CEO David Ferrucci started the company, he had a big vision in mind. “If computers could understand what they read, the impact on humanity would be enormous,”…
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When we read or engage in dialog, we don’t just memorize and index words; we develop “mental models.” These are rich structures that our minds use to model, or represent,…
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