The tech industry is perpetually evolving, driven by the relentless pace of innovation and the

According to a report by Straits Research, the global multi-camera system market size is projected

In the dynamic field of artificial intelligence (AI), fine-tuning pre-trained models is essential for customizing

Prompt engineering acts a key skill in generative-AI. Precise and meaningful prompts can effectively guide

In the ever-evolving landscape of modern software development, achieving portability, scalability, and high availability are paramount. This blog explores how the integration of Docker and Kubernetes (K8S) can seamlessly enhance these crucial aspects, ensuring a robust and efficient infrastructure for your applications.

This blog delves into Retrieval-Augmented Generation (RAG), a cutting-edge AI model that improves huge language models with real-time data retrieval for greater accuracy and relevance. It describes RAG’s design, practical applications, and implementation with Azure’s AI services, such as Azure AI Enrichments, Prompt Flow, Open AI, and custom solutions.

Generative Artificial Intelligence (AI) is currently a buzzword in the software industry. Professionals are exploring

Microsoft’s HoloLens 2 leads the way in mixed reality technology, enabling revolutionary holographic experiences. This transformative headset is reshaping industries from healthcare to marketing by merging virtual and real worlds. With a wide field of view and precise tracking, HoloLens 2 brings future potential to diverse sectors through immersive, collaborative and productive applications.

Generative AI creates new data from existing datasets, enabling automation across business functions like sales, marketing, HR, and legal. It powers applications like proposal generation, predictive analytics, document creation, and chatbots. Building a conversational chatbot involves steps like selecting a model, training it on curated data, iterating for accuracy, choosing a platform, and extensively testing the interface.