Smart Prompt Engineering for Unlocking AI Potential 

June 14, 2025 – Compact AI models face challenges; six prompt-tuning strategies improve accuracy, cost-efficiency, and enterprise readiness.

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Applications and Evaluation of Language Models for Model Integration

June 6, 2025 –  Hybrid AI methods unify tasks, cut costs, boost performance, and enable scalable, multi-purpose language models.

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Securing and Trusting Small Language Models: Navigating Ethical Challenges(SLMs)

May 26, 2025 – This paper reveals SLM vulnerabilities and proposes lightweight defenses to enhance security, trust, and compliance.

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Small Language Models Power Scalable AI for Scientific, Healthcare Innovation

May 22, 2025 –  This paper shows how small language models enable efficient, accurate AI for science and tech, reducing cost, complexity, and environmental impact.

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Procurement Cost Reduction Opportunities for Automotive Manufacturers

August 30, 2024 – Exploring procurement cost reduction is crucial for automotive manufacturers to enhance efficiency, cut costs, and compete

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Med PaLM M –
Driving Innovations in the World of Healthcare

August 13, 2024 –  Med-PaLM M transforms healthcare by integrating data, surpassing single-task AI, and improving diagnostics, treatment, and care

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Enhancing Network Security with Real-Time Anomaly Detection

July 29, 2024 – Real-time network security must detect sophisticated threats quickly, manage large data volumes, balance accuracy with false positives, and ensure scalability and privacy.

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Leveraging Real-Time Anomaly Detection for Industrial IoT Systems

July 14, 2024 – Industrial IoT monitoring encounters challenges in managing real-time data, ensuring connectivity, cybersecurity, integrating legacy systems, and scaling solutions effectively.

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Innovative Approaches to Real-Time Anomaly Detection in Healthcare Systems

June 30, 2024 – Healthcare monitoring is vital for patient care but faces challenges in data integration, privacy, accuracy, scalability, interoperability, and regulatory compliance.

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Real-Time Anomaly Detection: Practical Use Cases and Applications

June 16, 2024 – Real-time anomaly detection faces challenges in data complexity, balancing accuracy, adaptability, scalability, and ensuring interpretability, requiring innovative solutions.

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Predictive Healthcare through Anomaly Detection in Observational Data

June 1, 2024 -Anomaly detection in healthcare enables early interventions and optimized resources.

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Deep Knowledge Search + Gen AI = Engaging LinkedIn Articles

May 17, 2024 – Real-time anomaly detection faces challenges in data complexity, balancing accuracy, adaptability, scalability, and ensuring interpretability, requiring innovative solutions.

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Challenges in Writing Good LinkedIn Articles using Gen AI

May 2, 2024 – Writing LinkedIn articles poses challenges like meeting audience expectations for well-researched content, providing expert insights, and maintaining engagement.

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Knowledge Search For AI Innovation 

April 20 2024 -Deep Knowledge Search provides a more accurate alternative to traditional search engines by extracting and presenting highly relevant knowledge phrases.

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Deep Knowledge Search White Paper

April 5, 2024 – Deep Knowledge Search extracts relevant knowledge phrases, offering a practical solution to the limitations of current search engines for efficiency. acquisition

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