Zobrazeno 1 - 10
of 1 033
pro vyhledávání: '"SINGH, ADITI"'
Text-to-SQL systems facilitate smooth interaction with databases by translating natural language queries into Structured Query Language (SQL), bridging the gap between non-technical users and complex database management systems. This survey provides
Externí odkaz:
http://arxiv.org/abs/2412.05208
Large Language Models (LLMs) have transformed numerous domains by providing advanced capabilities in natural language understanding, generation, and reasoning. Despite their groundbreaking applications across industries such as research, healthcare,
Externí odkaz:
http://arxiv.org/abs/2412.04782
Generative AI is reshaping the media landscape, enabling unprecedented capabilities in video creation, personalization, and scalability. This paper presents a comprehensive SWOT analysis of Metas Movie Gen, a cutting-edge generative AI foundation mod
Externí odkaz:
http://arxiv.org/abs/2412.03837
Publikováno v:
Peer Community Journal, Vol 2, Iss , Pp - (2022)
In ambiguous stop/sense genetic codes, the stop codon(s) not only terminate translation but can also encode amino acids. Such codes have evolved at least four times in eukaryotes, twice among ciliates (Condylostoma magnum and Parduczia sp.). These ha
Externí odkaz:
https://doaj.org/article/f635ae28a3084d9899cb3ee22d2b50b4
The application of artificial intelligence (AI) in civil engineering presents a transformative approach to enhancing design quality and safety. This paper investigates the potential of the advanced LLM GPT4 Turbo vision model in detecting architectur
Externí odkaz:
http://arxiv.org/abs/2410.20036
Autor:
Singh, Aditi, Ehtesham, Abul, Gupta, Gaurav Kumar, Chatta, Nikhil Kumar, Kumar, Saket, Khoei, Tala Talaei
In this paper, we conduct a comprehensive SWOT analysis of prompt engineering techniques within the realm of Large Language Models (LLMs). Emphasizing linguistic principles, we examine various techniques to identify their strengths, weaknesses, oppor
Externí odkaz:
http://arxiv.org/abs/2410.12843
This research introduces an innovative mathematical learning approach that integrates generative AI to cultivate a structured learning rather than quick solution. Our method combines chatbot capabilities and generative AI to offer interactive problem
Externí odkaz:
http://arxiv.org/abs/2407.15022
The recent swift development of LLMs like GPT-4, Gemini, and GPT-3.5 offers a transformative opportunity in medicine and healthcare, especially in digital diagnostics. This study evaluates each model diagnostic abilities by interpreting a user sympto
Externí odkaz:
http://arxiv.org/abs/2405.06712
Mental health challenges are on the rise in our modern society, and the imperative to address mental disorders, especially regarding anxiety, depression, and suicidal thoughts, underscores the need for effective interventions. This paper delves into
Externí odkaz:
http://arxiv.org/abs/2403.05568
Autor:
Singh, Aditi
In social robotics, human-robot interaction is very important. Interactions with humans needs integrated multimodal cognition and generation of positive human emotions, speech, dialogs, and gestures. Currently, the research in human gestures is focus