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Evaluation of openai o1: Opportunities and challenges of agi
This comprehensive study evaluates the performance of OpenAI's o1-preview large
language model across a diverse array of complex reasoning tasks, spanning multiple …
language model across a diverse array of complex reasoning tasks, spanning multiple …
A comprehensive review of multimodal large language models: Performance and challenges across different tasks
In an era defined by the explosive growth of data and rapid technological advancements,
Multimodal Large Language Models (MLLMs) stand at the forefront of artificial intelligence …
Multimodal Large Language Models (MLLMs) stand at the forefront of artificial intelligence …
[HTML][HTML] Enhanced COVID-19 detection from x-ray images with convolutional neural network and transfer learning
The global spread of Coronavirus (COVID-19) has prompted imperative research into
scalable and effective detection methods to curb its outbreak. The early diagnosis of COVID …
scalable and effective detection methods to curb its outbreak. The early diagnosis of COVID …
Large Language Models for Bioinformatics
With the rapid advancements in large language model (LLM) technology and the
emergence of bioinformatics-specific language models (BioLMs), there is a growing need for …
emergence of bioinformatics-specific language models (BioLMs), there is a growing need for …
Multimodal Large Language Models in Human-Centered Health: Practical Insights
Multimodal data offer a comprehensive view of human health by integrating diverse sources,
such as text, medical images, physiological signals, and behavioral data. Recent …
such as text, medical images, physiological signals, and behavioral data. Recent …
Augmenting Multi-modal Question Answering Systems with Retrieval Methods
W Lin - 2024 - repository.cam.ac.uk
The quest to develop artificial intelligence systems capable of handling intricate tasks has
propelled the prominence of deep learning, particularly since 2016, when neural network …
propelled the prominence of deep learning, particularly since 2016, when neural network …
Generative AI in Medical Imaging
A Tabatabaei, A ZadZiabari - Application of Generative AI in Healthcare … - books.google.com
Medical imaging is experiencing significant changes due to the widespread imple-mentation
of artificial intelligence (AI). To stay up with the ongoing technological advances of our …
of artificial intelligence (AI). To stay up with the ongoing technological advances of our …