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pro vyhledávání: '"Zaharia A"'
Publikováno v:
Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, Vol 1, Iss 2, Pp 90-102 (2024)
In today competitive tourism market, with the rise of the web 2.0 era, destinations have shifted their focus from the traditional means of promotion to the online process. This study examined the online marketing of 10 Romanian cities as emerging des
Externí odkaz:
https://doaj.org/article/2b8db647a88b4fc28973e9aa20da0753
Autor:
Zaharia Andrei, Nedeff Valentin, Frunza Nicolata, Nedeff Florin, Barsan Narcis, Chitimuş Dana
Publikováno v:
BIO Web of Conferences, Vol 122, p 01022 (2024)
As a result of slaughtering processes, large volumes of effluents with high concentrations of organic, inorganic and microbiological pollutants are generated. The pollutants composition must be reduced by apply simultaneous processes in order, to obt
Externí odkaz:
https://doaj.org/article/c17ecb2bb1ce4d409ef13e9c8bec7f05
Efficient video tokenization remains a key bottleneck in learning general purpose vision models that are capable of processing long video sequences. Prevailing approaches are restricted to encoding videos to a fixed number of tokens, where too few to
Externí odkaz:
http://arxiv.org/abs/2410.08368
Autor:
Biswal, Asim, Patel, Liana, Jha, Siddarth, Kamsetty, Amog, Liu, Shu, Gonzalez, Joseph E., Guestrin, Carlos, Zaharia, Matei
AI systems that serve natural language questions over databases promise to unlock tremendous value. Such systems would allow users to leverage the powerful reasoning and knowledge capabilities of language models (LMs) alongside the scalable computati
Externí odkaz:
http://arxiv.org/abs/2408.14717
Autor:
Davis, Jared Quincy, Hanin, Boris, Chen, Lingjiao, Bailis, Peter, Stoica, Ion, Zaharia, Matei
As practitioners seek to surpass the current reliability and quality frontier of monolithic models, Compound AI Systems consisting of many language model inference calls are increasingly employed. In this work, we construct systems, which we call Net
Externí odkaz:
http://arxiv.org/abs/2407.16831
The semantic capabilities of language models (LMs) have the potential to enable rich analytics and reasoning over vast knowledge corpora. Unfortunately, existing systems lack high-level abstractions to perform semantic queries at scale. We introduce
Externí odkaz:
http://arxiv.org/abs/2407.11418
Gesture is an important mean of non-verbal communication, with visual modality allows human to convey information during interaction, facilitating peoples and human-machine interactions. However, it is considered difficult to automatically recognise
Externí odkaz:
http://arxiv.org/abs/2406.12440
Autor:
Opsahl-Ong, Krista, Ryan, Michael J, Purtell, Josh, Broman, David, Potts, Christopher, Zaharia, Matei, Khattab, Omar
Language Model Programs, i.e. sophisticated pipelines of modular language model (LM) calls, are increasingly advancing NLP tasks, but they require crafting prompts that are jointly effective for all modules. We study prompt optimization for LM progra
Externí odkaz:
http://arxiv.org/abs/2406.11695
Autor:
Elmaaroufi, Karim, Shanker, Devan, Cismaru, Ana, Vazquez-Chanlatte, Marcell, Sangiovanni-Vincentelli, Alberto, Zaharia, Matei, Seshia, Sanjit A.
For cyber-physical systems (CPS), including robotics and autonomous vehicles, mass deployment has been hindered by fatal errors that occur when operating in rare events. To replicate rare events such as vehicle crashes, many companies have created lo
Externí odkaz:
http://arxiv.org/abs/2405.03709
Cyber security attacks have become increasingly complex over time, with various phases of their kill chain, involving binaries, scripts, documents, executed commands, vulnerabilities, or network traffic. We propose a tool, GView, that is designed to
Externí odkaz:
http://arxiv.org/abs/2404.09058