Results 31 to 40 of about 10,528 (144)

Swarm Cooperation Decision‑Making Based on Large Language Models

open access: yesNanjing Hangkong Hangtian Daxue Xuebao
To address challeges of complexity and real‑time ability imposed of multi-domain collaborative decision-making in large-scale dynamic environment, a swarm cooperation decision-making framework is proposed based on large language models, named courses of
ZOU Tong   +3 more
doaj   +1 more source

AI dialogues in cartilage repair: which guides evidence-based decisions better?

open access: yesFrontiers in Cell and Developmental Biology
PurposeThis study compares ChatGPT, DeepSeek, and Google Search in addressing cartilage repair-related questions across two domains-cartilage tissue engineering (CTE) and cartilage repair surgery (CRS)-using a dual-axis framework that integrates ...
Senyang Xiao   +3 more
doaj   +1 more source

Why DeepSeek shouldn’t have been a surprise

open access: yes
The Chinese startup DeepSeek shocked many when its new model challenged established American AI companies despite being smaller, more efficient, and significantly cheaper. However, management theory — specifically disruption theory — could have predicted
Choudhury, Prithwiraj   +2 more
core   +6 more sources

SKR1: Benchmark for Testing Knowledge About Slovak Realia for Large Language Models

open access: yesActa Informatica Pragensia
Background: To objectively evaluate the capabilities of large language models (LLMs), we need to develop tools that enable such assessment. While numerous benchmarks exist, the vast majority are in English and focus on general knowledge, often ...
Marek Dobeš
doaj   +1 more source

ChatGPT vs. DeepSeek: una experiencia de evaluación académica

open access: yes
El capítulo analiza comparativamente el rendimiento de ChatGPT y DeepSeek en un examen oficial de Teoría del Derecho de la UNED. Ambas herramientas muestran alta capacidad para resolver preguntas tipo test, obteniendo calificaciones elevadas (9,4 y 8,8 ...
Pattier Bocos, Daniel
core   +1 more source

DeepSeek och Kinas sociotekniska självbild : En analys av DeepSeek i kinesisk statlig media

open access: yes
Denna uppsats undersöker hur det skrivs om den kinesiska AI-modellen DeepSeek i den partistyrda kinesiska tidningen Folkets dagblad. 23 artiklar mellan 6/2/2025 och 6/3/2025 analyseras utifrån Braun & Clarkes metod för tematisk analys och fyra teman ...
Bergkvist, Alva
core   +1 more source

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism [PDF]

open access: yes
The rapid development of open-source large language models (LLMs) has been truly remarkable. However, the scaling law described in previous literature presents varying conclusions, which casts a dark cloud over scaling LLMs.
Luo, Fuli   +87 more
core   +1 more source

“Reasoning” in Large Language Models: User Evaluation and Metacommunication

open access: yesДискурс
Introduction. Communication with intelligent agents is becoming an increasingly common practice that pursues a variety of goals. If communication with communicative agents laid the foundations for the social practice of communication, then dialogues with
D. S. Bylieva
doaj   +1 more source

DeepSeek-R1: Reliability for research and education – A comparative study with Claude-3.5-Sonnet and GPT-4o [PDF]

open access: yesJournal of Clinical and Basic Research
Background: Large language models (LLMs) like Claude-3.5-Sonnet and GPT-4o are widely used in research and education but are limited by high costs and proprietary restrictions. DeepSeek-R1, an open-source LLM developed by DeepSeek-AI, leverages a Mixture-
Reza Rakhshi   +4 more
doaj  

Corporality and the Body in Soviet Poster Art: Three Cases

open access: yesCorpus Mundi
In the article, the authors analyze the constitutions of the body and the textures of corporeality in Soviet poster art. The choice of the subject of the study is due to a number of reasons: poster art is directly designed for the mass consumer, it is ...
Artur A. Dydrov, Darya A. Mochalova
doaj   +1 more source

Home - About - Disclaimer - Privacy