Blogs - AI & Machine Learning

December 12, 2024

Robotics in the Aerospace Industry: Transforming Industrial Applications with AMRs and the Future

The aerospace industry has always been at the forefront of innovation and technological development, with

Blog
November 26, 2024

Live555 Streaming in Android Application: A Practical Approach from eInfochips

Since its 2008 debut, Android has grown into a widely adopted operating system, extending beyond

Blog
October 14, 2024

Quick guide on developing and deploying vision-based multi-camera solutions

Over the past several years, with strong advances in technology, Artificial Intelligence (AI) and Machine

Blog
September 27, 2024

Empowering Techies with GenNext AI: Transforming the Future of Technology

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

Blog
September 20, 2024

Deploying Connected Multi-Camera Solutions for Various Requirements

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

Blog
August 24, 2024

Fine-tuning Pre-trained Models with Azure and OpenAI

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

Blog
August 14, 2024

Prompt Engineering for Generative AI

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

Blog
July 10, 2024

Unleashing Superior Performance and Scalability with Docker and Kubernetes

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.

Blog
June 10, 2024

Mastering RAG: An In-depth Exploration with Azure Infrastructure

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.

Blog

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