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pro vyhledávání: '"Bhati, Ishwar"'
Autor:
Leto, Alexandria, Aguerrebere, Cecilia, Bhati, Ishwar, Willke, Ted, Tepper, Mariano, Vo, Vy Ai
Retrieval-augmented generation (RAG) is a promising method for addressing some of the memory-related challenges associated with Large Language Models (LLMs). Two separate systems form the RAG pipeline, the retriever and the reader, and the impact of
Externí odkaz:
http://arxiv.org/abs/2411.07396
Embedding models can generate high-dimensional vectors whose similarity reflects semantic affinities. Thus, accurately and timely retrieving those vectors in a large collection that are similar to a given query has become a critical component of a wi
Externí odkaz:
http://arxiv.org/abs/2410.22347
Autor:
Aguerrebere, Cecilia, Hildebrand, Mark, Bhati, Ishwar Singh, Willke, Theodore, Tepper, Mariano
Retrieving the most similar vector embeddings to a given query among a massive collection of vectors has long been a key component of countless real-world applications. The recently introduced Retrieval-Augmented Generation is one of the most promine
Externí odkaz:
http://arxiv.org/abs/2402.02044
Modern deep learning models have the ability to generate high-dimensional vectors whose similarity reflects semantic resemblance. Thus, similarity search, i.e., the operation of retrieving those vectors in a large collection that are similar to a giv
Externí odkaz:
http://arxiv.org/abs/2312.16335
Nowadays, data is represented by vectors. Retrieving those vectors, among millions and billions, that are similar to a given query is a ubiquitous problem, known as similarity search, of relevance for a wide range of applications. Graph-based indices
Externí odkaz:
http://arxiv.org/abs/2304.04759
Memory bandwidth is critical in today's high performance computing systems. The bandwidth is particularly paramount for GPU workloads such as 3D Gaming, Imaging and Perceptual Computing, GPGPU due to their data-intensive nature. As the number of thre
Externí odkaz:
http://arxiv.org/abs/1808.03518
Akademický článek
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Publikováno v:
2015 7th International Conference on Computational Intelligence, Communication Systems & Networks; 2015, p235-246, 12p
Publikováno v:
International Symposium on Low Power Electronics & Design (ISLPED); 2013, p205-210, 6p
Autor:
Stevens, Jim1, Tschirhart, Paul1, Mu-Tien Chang1, Bhati, Ishwar1, Enns, Peter1, Greensky, James2, Chisti, Zeshan2, Shih-Lien Lu2, Jacob, Bruce1
Publikováno v:
Intel Technology Journal. 2013, Vol. 17 Issue 1, p184-200. 17p. 3 Diagrams, 1 Chart, 7 Graphs.