Results 161 to 170 of about 63,129 (302)

Exploring Spatial Schema Intuitions in Large Language and Vision Models

open access: yes
Despite the ubiquity of large language models (LLMs) in AI research, the question of embodiment in LLMs remains underexplored, distinguishing them from embodied systems in robotics where sensory perception directly informs physical action.
Wachowiak, Lennart, Wicke, Philipp
core  

Human vs. artificial intelligence: Physicians outperform ChatGPT in real‐world pharmacotherapy counselling

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aims To assess the utility of the artificial intelligence (AI) chatbot ChatGPT (openly available version 3.5) in responding to real‐world pharmacotherapeutic queries from healthcare professionals. Methods Three independent and blinded evaluators with different levels of medical expertise and professional experience (beginner, advanced, and expert ...
Benjamin Krichevsky   +9 more
wiley   +1 more source

AI voice journaling for future language teachers: A path to well‐being through reflective practices

open access: yesBritish Educational Research Journal, EarlyView.
Abstract This study aimed to explore the perceived impact of using an AI‐powered voice journaling app in overcoming the challenges and stressors encountered by senior students enrolled in teaching practicum at an English Language Teaching Bachelor's programme.
Bora Demir, Duygu Özdemir
wiley   +1 more source

Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?

open access: yes
The rapid advancement of Large Language Models (LLMs) has spurred discussions about their potential to enhance quantitative trading strategies. LLMs excel in analyzing sentiments about listed companies from financial news, providing critical insights for
Guo, Jian   +5 more
core  

CMMLU: Measuring massive multitask language understanding in Chinese

open access: yes
As the capabilities of large language models (LLMs) continue to advance, evaluating their performance becomes increasingly crucial and challenging. This paper aims to bridge this gap by introducing CMMLU, a comprehensive Chinese benchmark that covers ...
Baldwin, Timothy   +7 more
core  

Risky or rigorous? Developing trustworthiness criteria for AI‐supported qualitative data analysis

open access: yes
Anatomical Sciences Education, EarlyView.
Michelle D. Lazarus   +4 more
wiley   +1 more source

A Guide to Bayesian Optimization in Bioprocess Engineering

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska   +5 more
wiley   +1 more source

Purifying Large Language Models by Ensembling a Small Language Model

open access: yes
The emerging success of large language models (LLMs) heavily relies on collecting abundant training data from external (untrusted) sources. Despite substantial efforts devoted to data cleaning and curation, well-constructed LLMs have been reported to ...
Du, Chao   +6 more
core  

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