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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
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.
Case Study – Discover how eInfochips enabled a Japanese audio manufacturer to create their next-gen AV conferencing device, delivering a complete solution powered by AI/ML….
Case Study – Discover how eInfochips revolutionized home interior design for its client with Mixed Reality solutions. Visualize and personalize items in your space effortlessly…
eInfochips, an Arrow Electronics company, is a leading provider of digital transformation and product engineering services. eInfochips accelerates time to market for its customers with its expertise in IoT, AI/ML, security, sensors, silicon, wireless, cloud, and power. eInfochips has been recognized as a leader in Engineering R&D services by many top analysts and industry bodies, including Gartner, Zinnov, ISG, IDC, NASSCOM and others.
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