Zobrazeno 1 - 10
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pro vyhledávání: '"Kumar Anoop"'
Autor:
Lawton, Neal, Padmakumar, Aishwarya, Gaspers, Judith, FitzGerald, Jack, Kumar, Anoop, Steeg, Greg Ver, Galstyan, Aram
QLoRA reduces the memory-cost of fine-tuning a large language model (LLM) with LoRA by quantizing the base LLM. However, quantization introduces quantization errors that negatively impact model performance after fine-tuning. In this paper we introduc
Externí odkaz:
http://arxiv.org/abs/2410.14713
Autor:
Jia, Jinghan, Komma, Abi, Leffel, Timothy, Peng, Xujun, Nagesh, Ajay, Soliman, Tamer, Galstyan, Aram, Kumar, Anoop
In task-oriented conversational AI evaluation, unsupervised methods poorly correlate with human judgments, and supervised approaches lack generalization. Recent advances in large language models (LLMs) show robust zeroshot and few-shot capabilities a
Externí odkaz:
http://arxiv.org/abs/2406.17304
With a particular focus on Scipy's minimize function the eclipse mapping method is thoroughly researched and implemented utilizing Python and essential libraries. Many optimization techniques are used, including Sequential Least Squares Programming (
Externí odkaz:
http://arxiv.org/abs/2406.00071
This study examines the effects of macroeconomic policies on financial markets using a novel approach that combines Machine Learning (ML) techniques and causal inference. It focuses on the effect of interest rate changes made by the US Federal Reserv
Externí odkaz:
http://arxiv.org/abs/2404.07225
Video games have played a crucial role in entertainment since their development in the 1970s, becoming even more prominent during the lockdown period when people were looking for ways to entertain them. However, at that time, players were unaware of
Externí odkaz:
http://arxiv.org/abs/2404.00526
Publikováno v:
Review of Technologies and Disruptive Business Strategies
Autor:
Qiang, Yao, Nandi, Subhrangshu, Mehrabi, Ninareh, Steeg, Greg Ver, Kumar, Anoop, Rumshisky, Anna, Galstyan, Aram
Large language models (LLMs) have demonstrated impressive performance on a number of natural language processing tasks, such as question answering and text summarization. However, their performance on sequence labeling tasks such as intent classifica
Externí odkaz:
http://arxiv.org/abs/2402.15833
Autor:
Kumar Anoop S., Kamaiah B.
Publikováno v:
Ekonomski Anali, Vol 62, Iss 212, Pp 63-83 (2017)
We analyse return and volatility spillover across select Asian equity markets using wavelet multiple correlation and cross-correlation. For the purpose of analysis, daily return data is taken from equity markets, viz. Bombay Stock Exchange SENSEX,
Externí odkaz:
https://doaj.org/article/daf37c4014fd4d6282618506d693a518