Efficient LLMs Training and Inference: An Introduction
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2024.3501358
Abstract: ChatGPT was released in late November 2022, making a significant impact globally. Following this release, numerous domestic and international open-source projects for large model training emerged, including Alpaca, BOOLM, LLaMA, ChatGLM, DeepSpeedChat, and ColossalChat. Both… read more here.
Keywords: efficient llms; large models; large model; inference ... See more keywords
Multi-Task Semantic Communications via Large Models
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Communications Standards Magazine"
DOI: 10.1109/mcomstd.2025.3605634
Abstract: Artificial intelligence (AI) promises to revolutionize the design, optimization and management of next-generation communication systems. In this article, we explore the integration of large AI models (LAMs) into semantic communications (SemCom) by leveraging their multi-modal… read more here.
Keywords: large models; multi task; generation; lam based ... See more keywords
Transforming 6G Mobile Edge Intelligence With Large Models
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Network"
DOI: 10.1109/mnet.2025.3532486
Abstract: Large models (LMs) exhibit transformative power in 6G Mobile-Edge Intelligence (MEI) scenarios, which can effectively address key challenges regarding network complexity, resource optimization, intelligent decision-making, and user experience. In this article, we first introduce the… read more here.
Keywords: edge intelligence; layer; large models; mobile edge ... See more keywords
An Efficient EM Modeling Scheme for Large 3-D Models—A Magnetotelluric Case Study
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3232488
Abstract: We present an efficient scheme for computing 3-D magnetotelluric (MT) forward responses. The scheme is especially valuable for large models resulting from fine discretization or the large survey area. The proposed approach overcomes the iterative… read more here.
Keywords: efficient modeling; scheme; large models; grid stretching ... See more keywords
Multimodal Large Models are Effective Action Anticipators
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2025.3557615
Abstract: The task of long-term action anticipation demands solutions that can effectively model temporal dynamics over extended periods while deeply understanding the inherent semantics of actions. Traditional approaches, which primarily rely on recurrent units or Transformer… read more here.
Keywords: large models; long term; action anticipation; models effective ... See more keywords
Edge intelligence-assisted animation design with large models: a survey
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Cloud Computing"
DOI: 10.1186/s13677-024-00601-3
Abstract: The integration of edge intelligence (EI) in animation design, particularly when dealing with large models, represents a significant advancement in the field of computer graphics and animation. This survey aims to provide a comprehensive overview… read more here.
Keywords: edge intelligence; animation design; animation; large models ... See more keywords
Harnessing large vision and language models in agriculture: a review
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2025.1579355
Abstract: Introduction Agriculture is a cornerstone of human society but faces significant challenges, including pests, diseases, and the need for increased production efficiency. Large models, encompassing large language models, large vision models, and multimodal large language… read more here.
Keywords: models agriculture; large models; review; large vision ... See more keywords