VOXMORPH

May 2024
Vol-10, Issue-3
Paper ID: 23890
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Artificial Intelligence
Keywords
Keywords: VoxMorph LLMs (Large Language Model) Llama_cpp MiniLLm Mistral 7B 13B model (Llama 2)
Abstract
VoxMorph is a data-driven Q&A tool that provides advanced search capabilities and accurate answers to user questions. The problem is that organizations need to research and analyze their data, but their resources are limited because this can lead to the leakage of their important personal data. Thus, our device was born with the problem report. Here it uses LLM (Large Language Model) like VoxMorph, Llama_cpp, MiniLLm. This model is designed to understand and generate human-like text based on quantitative data. Additionally, Mistral 7B is a 7 billion parameter language model designed for performance and efficiency. Mistral 7B outperforms the best public 13D model (Llama 2) in all test benchmarks and outperforms the best published 34B model (Llama 1) in inference, math, and code generation. We also use word embeddings, which are numerical representations of words, usually in the form of vectors. So, using all these models, we provide a connection that will help users send large files, ask many questions and generate confidential answers specific to their organization. Also looking forward, we hope to add cloud storage to this tool, which will require advanced APIs and hosting. Keywords: VoxMorph, LLM (Large Language Model), Llama_cpp, MiniLLm, Mistral 7B, 13B model (Llama 2), 34B model (Llama 1), Vector, LangChain.

Author Information

# Name Institute / Affiliation
1 Prof. Manisha Vaidya Priyadarshini JL College Of Engineering
2 Tarun Bankar Priyadarshini JL College Of Engineering
3 Ishant Rambhad Priyadarshini JL College Of Engineering
4 Mithilesh Mankar Priyadarshini JL College Of Engineering
5 Ashray Wankhede Priyadarshini J.L College of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style
Vaidya, Prof. Manisha, Bankar, Tarun, Rambhad, Ishant, Mankar, Mithilesh, & Wankhede, Ashray (2024). VOXMORPH. International Journal of Advance Research and Innovative Ideas In Education, 10(3), 1744-1751.
MLA Style
Vaidya, Prof. Manisha, et al. "VOXMORPH." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, 2024, pp. 1744-1751.
IEEE Style
Prof. Manisha Vaidya, Tarun Bankar, Ishant Rambhad, Mithilesh Mankar, and Ashray Wankhede, "VOXMORPH," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, pp. 1744-1751, 2024.
Vancouver Style
Vaidya Prof. Manisha, Bankar Tarun, Rambhad Ishant, Mankar Mithilesh, Wankhede Ashray. VOXMORPH. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(3):1744-1751.
Harvard Style
Vaidya, Prof. Manisha, Bankar, Tarun, Rambhad, Ishant, Mankar, Mithilesh, & Wankhede, Ashray (2024) 'VOXMORPH', International Journal of Advance Research and Innovative Ideas In Education, 10(3), pp. 1744-1751.
Chicago Style
Vaidya, Prof. Manisha, et al. "VOXMORPH." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 1744-1751.
Turabian Style
Vaidya, Prof. Manisha, et al. "VOXMORPH." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 1744-1751.

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