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pro vyhledávání: '"Daynauth, Roland"'
Autor:
Daynauth, Roland, Mars, Jason
The SLAM paper demonstrated that on-device Small Language Models (SLMs) are a viable and cost-effective alternative to API-based Large Language Models (LLMs), such as OpenAI's GPT-4, offering comparable performance and stability. However, SLAM also i
Externí odkaz:
http://arxiv.org/abs/2407.12847
While major languages often enjoy substantial attention and resources, the linguistic diversity across the globe encompasses a multitude of smaller, indigenous, and regional languages that lack the same level of computational support. One such region
Externí odkaz:
http://arxiv.org/abs/2405.03832
Autor:
Irugalbandara, Chandra, Mahendra, Ashish, Daynauth, Roland, Arachchige, Tharuka Kasthuri, Dantanarayana, Jayanaka, Flautner, Krisztian, Tang, Lingjia, Kang, Yiping, Mars, Jason
Publikováno v:
ISPASS-2024: 2024 IEEE International Symposium on Performance Analysis of Systems and Software
Many companies use large language models (LLMs) offered as a service, like OpenAI's GPT-4, to create AI-enabled product experiences. Along with the benefits of ease-of-use and shortened time-to-solution, this reliance on proprietary services has down
Externí odkaz:
http://arxiv.org/abs/2312.14972
Autor:
Mars, Jason, Kang, Yiping, Daynauth, Roland, Li, Baichuan, Mahendra, Ashish, Flautner, Krisztian, Tang, Lingjia
Today's production scale-out applications include many sub-application components, such as storage backends, logging infrastructure and AI models. These components have drastically different characteristics, are required to work in collaboration, and
Externí odkaz:
http://arxiv.org/abs/2305.09864
Rice is the largest agricultural crop produced in Guyana. There are various post-harvest operations for rice, which include: threshing, cleaning, drying, milling, storage, transportation and marketing. Post-harvest losses can occur during any one of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f1ac0c91cc38856defd7b134555612f