Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...
The University of Massachusetts Amherst and healthcare AI company Mendel released a paper this week exploring how often large language models tend to hallucinate when producing medical summaries. Over ...
Liquid AI has introduced new liquid foundation models that promise more energy-efficient, transparent, tuneable, and performant alternatives to Large Language Models for generative AI. Liquid AI, an ...
Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...
They’re the mysterious numbers that make your favorite AI models tick. What are they and what do they do? MIT Technology Review Explains: Let our writers untangle the complex, messy world of ...
There is a persistent belief in the ‘AI’ community that large language models (LLMs) have the ability to learn and self-improve by tweaking the weights in their vector space. Although ...
Ultimately, hallucinations are a systemic feature of today’s LLMs. Unfortunately, they’re not an anomaly. But with the right ...
A new academic study challenges a core assumption in developing large language models (LLMs), warning that more pre-training data may not always lead to better models. Researchers from some of the ...
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