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.
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.
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.
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.
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
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
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.
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.
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.
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.
Predictive Healthcare through Anomaly Detection in Observational Data
June 1, 2024 -Anomaly detection in healthcare enables early interventions and optimized resources.
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.
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.
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.
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
