• Home
  • Md Shaheer Ahmed
Md Shaheer Ahmed

Md Shaheer Ahmed
  • Bachelor of Technology
  • Student at Christu jyothi institute of technology and science

About

5
Publications
2,700
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
7
Citations
Introduction
At the forefront of Human-Computer Interaction (HCI) and User Experience (UX), I specialize in integrating advanced deep learning techniques and Large Language Models (LLMs) to enhance user engagement and interaction. My work aims to bridge the gap between technology and human intuition, ensuring seamless and intuitive user experiences.
Current institution
Christu jyothi institute of technology and science
Current position
  • Student

Publications

Publications (5)
Preprint
Full-text available
Large language models (LLMs) have emerged as powerful tools for generating human-quality text, raising concerns about their potential for misuse in academic settings. This paper investigates the use of DistilBERT, a distilled version of BERT, for detecting LLM-generated text. We evaluate its performance on two publicly available datasets, LLM-Detec...
Article
Full-text available
The transition from search interfaces to chat interfaces marks a significant evolution in user interaction paradigms. This paper delves into the fundamental shift towards chat interfaces, exploring the reasons behind this transformation and its implications for user engagement. Through a comprehensive analysis, this study compares the key aspects o...
Preprint
Full-text available
This paper introduces a novel approach to file encryption using chess games as a medium for encoding and storing digital information. By assigning binary values to legal chess moves, files are transformed into sequences of chess games that can be reconstructed to retrieve the original data. This method leverages the complexity of chess gameplay to...
Article
Imagine a world where your smartphone can diagnose diseases, your laptop can predict market crashes, and your smartwatch can draft legal contracts—all without sending your data to the cloud. Welcome to the promise of locally runnable Large Language Models (LLMs). But is this AI utopia too good to be true? As LLMs revolutionize our world, they also...
Article
Deepfakes, synthetic media that overlay one person’s features on another’s face, pose a considerable threat to democratic processes, especially during elections. To combat this, a research proposal recommends an approach involving platform responsibility, community warnings, and government intervention. Platforms should use advanced AI algorithms,...

Questions

Question (1)
Question
The ability to generate true randomness is a key indicator of Artificial General Intelligence (AGI). Current AI systems, which rely on deterministic algorithms and pseudo-random number generation (PRNG), lack this fundamental capability and fall short of true intelligence.
Randomness is a fundamental aspect of the universe. An AGI that can't replicate it demonstrates a limitation in its ability to grasp the underlying complexity of the world.
Breakthroughs in science, art, and problem-solving often involve a degree of chance or unexpected connections. PRNGs are predictable, hindering the ability of AI to explore truly novel solutions.
Humans can be unpredictable because of our internal, non-deterministic processes. An AGI whose every action is determined by its programming lacks this key element of human-like intelligence.

Network

Cited By