A comprehensive overview of large language models
Large Language Models (LLMs) have recently demonstrated remarkable capabilities in
natural language processing tasks and beyond. This success of LLMs has led to a large …
natural language processing tasks and beyond. This success of LLMs has led to a large …
[HTML][HTML] Large language models in healthcare and medical domain: A review
The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …
A survey of large language models in medicine: Progress, application, and challenge
Large language models (LLMs), such as ChatGPT, have received substantial attention due
to their capabilities for understanding and generating human language. While there has …
to their capabilities for understanding and generating human language. While there has …
[PDF][PDF] Machine psychology: Investigating emergent capabilities and behavior in large language models using psychological methods
T Hagendorff - arXiv preprint arXiv:2303.13988, 2023 - cybershafarat.com
Large language models (LLMs) are currently at the forefront of intertwining AI systems with
human communication and everyday life. Due to rapid technological advances and their …
human communication and everyday life. Due to rapid technological advances and their …
Large language models for forecasting and anomaly detection: A systematic literature review
This systematic literature review comprehensively examines the application of Large
Language Models (LLMs) in forecasting and anomaly detection, highlighting the current …
Language Models (LLMs) in forecasting and anomaly detection, highlighting the current …
Knowledge conflicts for llms: A survey
This survey provides an in-depth analysis of knowledge conflicts for large language models
(LLMs), highlighting the complex challenges they encounter when blending contextual and …
(LLMs), highlighting the complex challenges they encounter when blending contextual and …
Black-box access is insufficient for rigorous ai audits
External audits of AI systems are increasingly recognized as a key mechanism for AI
governance. The effectiveness of an audit, however, depends on the degree of access …
governance. The effectiveness of an audit, however, depends on the degree of access …
A survey on trustworthy edge intelligence: From security and reliability to transparency and sustainability
Edge Intelligence (EI) integrates Edge Computing (EC) and Artificial Intelligence (AI) to push
the capabilities of AI to the network edge for real-time, efficient and secure intelligent …
the capabilities of AI to the network edge for real-time, efficient and secure intelligent …
Personal llm agents: Insights and survey about the capability, efficiency and security
Since the advent of personal computing devices, intelligent personal assistants (IPAs) have
been one of the key technologies that researchers and engineers have focused on, aiming …
been one of the key technologies that researchers and engineers have focused on, aiming …
[HTML][HTML] Multimodal large language models in health care: applications, challenges, and future outlook
In the complex and multidimensional field of medicine, multimodal data are prevalent and
crucial for informed clinical decisions. Multimodal data span a broad spectrum of data types …
crucial for informed clinical decisions. Multimodal data span a broad spectrum of data types …