Zobrazeno 1 - 10
of 955
pro vyhledávání: '"Dehnavi P"'
Large Language Models (LLMs) have revolutionized natural language understanding and generation tasks but suffer from high memory consumption and slow inference times due to their large parameter sizes. Traditional model compression techniques, such a
Externí odkaz:
http://arxiv.org/abs/2410.09615
We propose SLoPe, a Double-Pruned Sparse Plus Lazy Low-rank Adapter Pretraining method for LLMs that improves the accuracy of sparse LLMs while accelerating their pretraining and inference and reducing their memory footprint. Sparse pretraining of LL
Externí odkaz:
http://arxiv.org/abs/2405.16325
The paper presents the PCGPT framework, an innovative approach to procedural content generation (PCG) using offline reinforcement learning and transformer networks. PCGPT utilizes an autoregressive model based on transformers to generate game levels
Externí odkaz:
http://arxiv.org/abs/2310.02405
Autor:
Nasrollah Abbassi, Mohammad Salehi Tinooni, Mahdi Ghorbani Dehnavi, Safoora Shakeri, Ali Eshaghi
Publikováno v:
Fossil Record, Vol 27, Iss 2, Pp 265-287 (2024)
The Lower Red Formation (LRF) in Central Iran consists of the alternation of red-brown terrigenous sediments, marls and evaporites with basalt intercalations, exposed under the Chattian-Burdigalian Qom Formation and deposited on Eocene volcaniclastic
Externí odkaz:
https://doaj.org/article/632039d724f5462896dbe5ab8571d591
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background/objectives The Planetary Health Diet Index (PHDI) was recently introduced to assess adherence to the EAT-Lance recommendations. In this study, we aimed to evaluate the relationship between PHDI and metabolic syndrome (MS). Subject
Externí odkaz:
https://doaj.org/article/2c4aa7f0b1bb4bcd999ccfa1b2693dd7
This work proposes a Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 updates, called MKOR, that improves the training time and convergence properties of deep neural networks (DNNs). Second-order techniques, while enjoying higher conver
Externí odkaz:
http://arxiv.org/abs/2306.01685
Machine Learning (ML) models execute several parallel computations including Generalized Matrix Multiplication, Convolution, Dropout, etc. These computations are commonly executed on Graphics Processing Units (GPUs), by dividing the computation into
Externí odkaz:
http://arxiv.org/abs/2305.13450
Publikováno v:
پژوهشهای مدیریت عمومی, Vol 17, Iss 65, Pp 347-372 (2024)
AbstractOne of the new approaches to development is the development model of industrial clusters, which has an effective role in product innovation and competitiveness, and the changing needs and demands of customers, the rapid evolution of technolog
Externí odkaz:
https://doaj.org/article/bb65ee84094148f2a54ff38156907593
Autor:
Sandra Lubińska-Mielińska, Ahmad Rajabi Dehnavi, Stefany Cárdenas Pérez, Dariusz Kamiński, Agnieszka Piernik
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Salt marsh vegetation is considered unique and valuable and has been legally protected in Europe for years but is still declining. Its protection is related to vegetation syntaxonomical units. The characteristic combination of diagnostic spe
Externí odkaz:
https://doaj.org/article/73e34e29f5c146e3bddf23fd02a61cb3
Autor:
Ali Mohammad Mosadeghrad, Mahnaz Afshari, Hamed Dehnavi, Iman Keliddar, Maryam Zahmatkesh, Parvaneh Isfahani, Tahere Sharifi, Abbas Shahsavani, Abbas Ostadtaghizadeh, Masoumeh Abbasabadi-Arab, Masud Yunesian
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Introduction Climate change is a long-term systematic climate variability caused by human activities that alters the composition of the global atmosphere. Health systems should be adaptive and resilient to climate change. Hence, this researc
Externí odkaz:
https://doaj.org/article/910ba5d4c2324789b4d2ffa7d75109f7