48 citations · 120 across the 11 of their papers we have counts for
12 papers
Pediatric Asthma Detection with Googles HeAR Model: An AI-Driven Respiratory Sound Classifier
Abul Ehtesham, Saket Kumar, Aditi Singh +1
Early detection of asthma in children is crucial to prevent long-term respiratory complications and reduce emergency interventions. This work presents an AI-powered diagnostic pipe…
A Survey of Large Language Model-Based Generative AI for Text-to-SQL: Benchmarks, Applications, Use Cases, and Challenges
Aditi Singh, Akash Shetty, Abul Ehtesham +2
Text-to-SQL systems facilitate smooth interaction with databases by translating natural language queries into Structured Query Language (SQL), bridging the gap between non-technica…
A Survey of Sustainability in Large Language Models: Applications, Economics, and Challenges
Aditi Singh, Nirmal Prakashbhai Patel, Abul Ehtesham +2
Large Language Models (LLMs) have transformed numerous domains by providing advanced capabilities in natural language understanding, generation, and reasoning. Despite their ground…
Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
Aditi Singh, Abul Ehtesham, Saket Kumar +2
Large Language Models (LLMs) have advanced artificial intelligence by enabling human-like text generation and natural language understanding. However, their reliance on static trai…
Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries
Abul Ehtesham, Saket Kumar, Aditi Singh +1
Generative AI is reshaping the media landscape, enabling unprecedented capabilities in video creation, personalization, and scalability. This paper presents a comprehensive SWOT an…
Architectural Flaw Detection in Civil Engineering Using GPT-4
Saket Kumar, Abul Ehtesham, Aditi Singh +1
The application of artificial intelligence (AI) in civil engineering presents a transformative approach to enhancing design quality and safety. This paper investigates the potentia…
Exploring Prompt Engineering: A Systematic Review with SWOT Analysis
Aditi Singh, Abul Ehtesham, Gaurav Kumar Gupta +3
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 exa…
Encouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach
Aditi Singh, Abul Ehtesham, Saket Kumar +2
This research introduces an innovative mathematical learning approach that integrates generative AI to cultivate a structured learning rather than quick solution. Our method combin…
Digital Diagnostics: The Potential Of Large Language Models In Recognizing Symptoms Of Common Illnesses
Gaurav Kumar Gupta, Aditi Singh, Sijo Valayakkad Manikandan +1
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 e…
Revolutionizing Mental Health Care through LangChain: A Journey with a Large Language Model
Aditi Singh, Abul Ehtesham, Saifuddin Mahmud +1
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, und…
Transdisciplinary AI Education: The Confluence of Curricular and Community Needs in the Instruction of Artificial Intelligence
Roozbeh Aliabadi, Aditi Singh, Eryka Wilson
The integration of artificial intelligence (AI) into education has the potential to transform the way we learn and teach. In this paper, we examine the current state of AI in educa…
A Survey of AI Text-to-Image and AI Text-to-Video Generators
Aditi Singh
Text-to-Image and Text-to-Video AI generation models are revolutionary technologies that use deep learning and natural language processing (NLP) techniques to create images and vid…