and large language models in particular, seem to behave in ways textbook math says they shouldn’t. This highlights a remarkable fact about deep learning, the fundamental technology behind today’s AI boom: for all its runaway success, nobody knows exactly how—or ...
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A large language model (LLM) is an artificial intelligence model designed to understand and generate human-like text based on vast amounts of
Mathematicians are “still trying to figure out the best way to incorporate large language models into our research workflow in ways that harness their power while mitigating their drawbacks,” Tao says. “This certainly indicates one possible way forward.” ...
Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Dataarxiv.org/abs/2310.04944 Institution: Emory University Publication: arXiv 07.10.2023 1. Background 架构和训练方式上的先进给LLMs带来了有别于先例们的卓越性能; ...
Deep Multimodal Representation Learning: A Survey;Wenzhong Guo et al The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges;Maria Lymperaiou et al Augmented Language Models: a Survey;Grégoire Mialon et al ...
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In the Age of AI Giants, where models trained on terabytes of data and billions of parameters reign supreme, the domain of natural language processing has become even more accessible — not just to…
(CAPM): CAPM crafts tailored prompts that encapsulate enriched context and counterfactual insights, directing Large Language Models toward more precise and accurate causal reasoning. CARE-CA框架的关键组件:1.上下文知识整合模块:通过外部知识如ConceptNet相关的内容丰富模型推理过程的上下文,提供被测试对象的更深层...
A quick understanding of how LLMs work Typically, large language models (LLMs) refer to Transformer language models that contain hundreds of billions (or more) of parameters. The basic background for LLMs: 1) scaling laws 2) emergent abilities 3) key techniques. Scaling Laws Formulation of...