This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue—a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to ...
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...
In practice, integrating both short-term and long-term memories can enhance an agent’s ability for long-range reasoning and accumulation of valuable experiences, which are crucial for accomplishing tasks in complex environments. 存储器格式:除了存储器结构之外,分析存储器模块的另一个角度是基于存储器...
PaLM(Pathways Language Model)家族由Google开发。 第一款PaLM模型[31]于2022年4月宣布,直到2023年3月仍为私有。它是一款基于Transformer的LLM,参数范围为540B。该模型基于7800亿个token的高质量文本语料库进行预训练,这包括广泛的自然语言任务和用例。 PaLM使用Pathways系统在6144个TPU v4芯片上进行预训练,该系统可在...
Language Models are Few-Shot Learners DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models ChatLaw: Open-Source Legal Large Language Model with Integrated External Knowledge Bases Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models ...
A Survey on Large Language Model based Autonomous Agents, byLei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang et al. , byRay, Partha Pratim Large Language Models for Software Engineering: A Systematic Literature Review, ...
Artificial intelligence (AI) has significantly impacted various fields. Large language models (LLMs) like GPT-4, BARD, PaLM, Megatron-Turing NLG, Jurassic-
algorithmic tasks demonstrate that multi-token prediction is favorable for the development of induction heads and algorithmic reasoning capabilities. As an additional benefit, models trained with 4-token prediction are up to 3× faster at inference, even with large batch sizes....
Future Scope of Large Language Model ( LLMs) We are entering an era of transformation where access to information, content creation, customer service, and business operations will be fundamentally changed. Generative AI integrated into the digital core of enterprises will optimize tasks, enhance human...
Because language data have a central role in all areas of psychology, this new technology has the potential to transform the field. In this Perspective, we review the foundations of LLMs. We then explain how the way that LLMs are constructed enables them to effectively generate human-like ...