
Fine-tuning Pre-trained Models with Azure and OpenAI
In the dynamic field of artificial intelligence (AI), fine-tuning pre-trained

In the dynamic field of artificial intelligence (AI), fine-tuning pre-trained

Internet of Things (IoT) encompasses an imbricate nexus where quotidian instruments, cunningly wrought with arcane sensors and imbued with the intangible essence of software. This interconnectivity enables these objects to collect and share data, facilitating real-time monitoring, management, and improvement of various systems and processes. By leveraging IoT technology, businesses and individuals can achieve greater efficiency, automation, and enhanced decision-making capabilities, transforming the way we interact with the world around us.

Designing microservices architecture with the principles of the 12 Factor App is a widely adopted approach to building scalable, maintainable, and resilient systems. The 12 Factor App methodology provides a set of best practices for developing software-as-a-service (SaaS) applications, emphasizing factors like declarative formats, isolation, and portability.

Introduction In this rapidly progressing digital landscape, staying ahead demands

Executive Summary Our European client, a global pharma and life

In the ever-evolving landscape of microservices architecture, organizations face significant

Extended Reality (XR), comprising Virtual Reality (VR) and Augmented Reality (AR), transforms healthcare by enhancing patient engagement, surgical planning, and medical education. The post-pandemic surge in virtual healthcare adoption amplifies the demand for XR technologies. eInfochips, a leader in AR, VR, and Mixed Reality services, breaks physical boundaries through design, AI, and XR expertise, contributing to a potential $19.6B AR/VR healthcare market by 2030.

Monitoring tools provided by AKS currently provide insights into cluster performance, but they lack the flexibility to create customized dashboards and visualizations. In the absence of a robust monitoring system such as Grafana, troubleshooting and identifying performance bottlenecks, resource utilization issues, or abnormal behavior in the cluster becomes a time-consuming and complex task.

This blog explores different design options, including monolith applications, microservices, and three-tier architecture. It also delves into disaster recovery strategies and emphasizes the importance of security measures such as authentication, authorization, firewall, and data encryption. Gain insights into designing robust and secure systems for your projects.

Based on a micro survey conducted by CNCF, among the 253 survey participants, 70% have deployed or are presently utilizing a service mesh in production or development settings. Moreover, 19% of the respondents are currently in the evaluation phase of a service mesh solution.
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