Why are Large Language Models Important? Historically, AI models had been focused on perception and understanding. However, large language models, which are trained on internet-scale datasets with hundreds of billions of parameters, have now unlocked an AI model’s ability to generate human-like co...
Large language models, however, are transforming how information is aggregated, accessed and transmitted online. Here we focus on the unique opportunities and challenges this transformation poses for collective intelligence. We bring together interdisciplinary perspectives from industry and academia to ...
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Developers canwrite softwareandteach robots physical taskswith large language models. Marketers can train a large language model to organize customer feedback and requests into clusters, or segment products into categories based on product descriptions. Financial advisorscan summarize earnings calls and cre...
Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial public attention after OpenAI’s ChatGPT was made publicly available in November 2022. LLMs can often answer
also failed on half of these perturbations. Understanding these failures and the similarities and differences in how humans and LLMs may arrive at the same outcome requires further systematic investigation. For example, because these perturbations also involve changes in the physical properties of the ...
Large Language Models (LLMs), through their contextualized representations, have been empirically proven to encapsulate syntactic, semantic, word sense, and common-sense knowledge. However, there has been limited exploration of their physical reasoning abilities, specifically concerning the crucial attributes...
This paper presents a novel approach to extract scientifically valuable information about Earth's physical phenomena from unconventional sources, such as multimodal social media posts. Employing a state-of-the-art large language model (LLM), Gemini 1.5 Pro's, we estimate earthquake ground shaking int...
Cloud computing from Amazon AWS or Google offers an alternative to physical hardware, potentially reducing upfront costs. But remember that these services operate on a subscription or usage-based model. Thus, they can become expensive for projects with extensive data processing and storage needs. The...
Large Language Models:语言模型(LM)是基于概率计算,旨在通过根据已经出现的单词来预测下一个(或缺失的)标记的概率。对于标准的语言模型,给定输入 和参数化的概率模型 ,我们的期望是最大化目标输出 的似然性,如下所示: 其中 表示第 个标记, 表示目标输出的长度。