Yash dasgupta biography definition
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Yash Dasgupta
Indian actor (born 1985)
Not to be confused with Yash Gowda.
Yash Dasgupta (born as Debashish Dasgupta;[5] 10 October 1985)[6] is an Indian actor, television personality, producer, politician who works in Bengali and Hindi entertainment industry. Starting his career from television dramas, he made his film debut in the 2016 Bengali film Gangster. In 2023, he made his Hindi film debut in Yaariyan 2.[7] He was listed as the most desirable man in the Calcutta Times list of Most Desirable men in 2014, 2015 and 2020.[citation needed]
Dasgupta appeared in the TV soap operas Bojhena Se Bojhena and Na Aana Is Des Laado. In 2006 he won the Glam King title in the Unish Kuri Streax Glam Hunt held in Kolkata.[8] Dasgupta is also a politician and belongs to the Bharatiya Janata Party since 17 February 2021.[9]
Early life
[edit]Yash Dasgupta was born to Dipak Dasgupta and Jayati Dasgupta. His real
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Large language models (LLMs) often hallucinate and lack the ability to provide attribution for their generations. Semi-parametric LMs, such as kNN-LM, approach these limitations bygd refining the output of an LM for a given prompt using its nearest neighbor matches in a non-parametric data store. However, these models often exhibit slow inference speeds and producera non-fluent texts. In this paper, we introduce Nearest Neighbor Speculative Decoding (NEST), a novel semi-parametric language modeling approach that fryst vatten capable of incorporating real-world text spans of arbitrary length into the LM generations and providing attribution to their sources. NEST performs token-level retrieval at each inference step to compute a semi-parametric mixture distribution and identify promising span continuations in a corpus. It then uses an approximate speculative decoding procedure that accepts a prefix of the retrieved span or generates a new token. NEST significantly enhances the generation
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Abstract
Energy efficiency is important for underwater sensor networks. Designing such networks is challenging due to underwater environmental traits that hinder network lifespan extension. Unlike terrestrial protocols, underwater settings require novel protocols due to slower signal propagation. To enhance energy efficiency in underwater sensor networks, ongoing research concentrates on developing innovative solutions. Thus, in this paper, an intelligent bio-inspired autonomous surveillance system using underwater sensor networks is proposed as an efficient method for data communication. The tunicate swarm algorithm is used for the election of the cluster heads by considering different parameters such as energy, distance, and density. Each layer has several clusters, each of which is led by a cluster head that continuously rotates in response to the fitness values of the SNs using the tunicate swarm algorithm. The performance of the proposed protocol is compared with existing meth