Open Research
Everything we publish is free.
5+ papers across LLMs, prompt engineering, cloud AI, healthcare analytics, and more. All open access.
Dual-Path Disagreement Resolution: Teaching Small Language Models to Argue and Self-Adjudicate via QLoRA Fine-Tuning
We introduce a dual-path disagreement resolution schema: training compact models to generate competing answers, identify the logical conflict between them, and self-adjudicate to a final justified conclusion.
Low-Resource Self-Reflective Fine-Tuning of Compact Language Models Using LoRA
Investigates how self-reflection capabilities can be instilled into compact language models via structured LoRA fine-tuning, demonstrating meaningful self-correction with significantly reduced compute.
Enhancing the Efficacy of Generative AI through User-Centric Prompt Optimization
Proposes a user-centric framework for prompt optimization that bridges the gap between human intent and generative AI output, democratizing access across all skill levels.
Using Artificial Intelligence with Cloud Computing: Methodologies and Implementation
An in-depth review of AI integration with cloud computing, examining architectures, techniques, real-world case studies, and future research directions.
Advanced AI Home Security Project
Implementation of advanced AI-powered computer vision for residential security: real-time detection, alert systems, and edge deployment.
CancerCare Insight: A Comprehensive Analysis Tool for Treatment Outcomes and Cost Effectiveness
A data-driven tool for evaluating cancer treatment outcomes and cost effectiveness, combining AI analytics with clinical data to support better healthcare decisions.