Zobrazeno 1 - 10
of 213
pro vyhledávání: '"Verma, Prateek"'
Autor:
Verma, Prateek, Pilanci, Mert
This paper introduces the idea of applying signal processing inside a Large Language Model (LLM). With the recent explosion of generative AI, our work can help bridge two fields together, namely the field of signal processing and large language model
Externí odkaz:
http://arxiv.org/abs/2406.10254
Autor:
Verma, Prateek, Adeogun, Elizabeth, Greene, Elizabeth S., Dridi, Sami, Nakarmi, Ukash, Nayani, Karthik
An imbalance between bodily heat production and heat dissipation leads to heat stress in organisms. In addition to diminished animal well-being, heat stress is detrimental to the poultry industry as poultry entails fast growth and high yield, resulti
Externí odkaz:
http://arxiv.org/abs/2405.15068
Vision language models (VLMs) have recently emerged and gained the spotlight for their ability to comprehend the dual modality of image and textual data. VLMs such as LLaVA, ChatGPT-4, and Gemini have recently shown impressive performance on tasks su
Externí odkaz:
http://arxiv.org/abs/2405.00876
Recently, large language models (LLMs) have taken the spotlight in natural language processing. Further, integrating LLMs with vision enables the users to explore emergent abilities with multimodal data. Visual language models (VLMs), such as LLaVA,
Externí odkaz:
http://arxiv.org/abs/2402.14162
Autor:
Verma, Prateek
With the advent of modern AI architectures, a shift has happened towards end-to-end architectures. This pivot has led to neural architectures being trained without domain-specific biases/knowledge, optimized according to the task. We in this paper, l
Externí odkaz:
http://arxiv.org/abs/2309.08751
Autor:
Verma, Prateek
This report will explore and answer fundamental questions about taking Fourier Transforms and tying it with recent advances in AI and neural architecture. One interpretation of the Fourier Transform is decomposing a signal into its constituent compon
Externí odkaz:
http://arxiv.org/abs/2308.10388
Query autocomplete (QAC) also known as typeahead, suggests list of complete queries as user types prefix in the search box. It is one of the key features of modern search engines specially in e-commerce. One of the goals of typeahead is to suggest re
Externí odkaz:
http://arxiv.org/abs/2308.02055
Autor:
Verma, Prateek
This work builds together two popular blocks of neural architecture, namely convolutional layers and Transformers, for large language models (LLMs). Non-causal conformers are used ubiquitously in automatic speech recognition. This work aims to adapt
Externí odkaz:
http://arxiv.org/abs/2307.00461
Police body-worn cameras have the potential to improve accountability and transparency in policing. Yet in practice, they result in millions of hours of footage that is never reviewed. We investigate the potential of large pre-trained speech models f
Externí odkaz:
http://arxiv.org/abs/2306.06086
Autor:
Verma, Prateek, Chafe, Chris
We propose a learnable content adaptive front end for audio signal processing. Before the modern advent of deep learning, we used fixed representation non-learnable front-ends like spectrogram or mel-spectrogram with/without neural architectures. Wit
Externí odkaz:
http://arxiv.org/abs/2303.10446