AI

This blog post based on [1] delves into the technical intricacies of Deepseek’s v3 and R1 models, exploring how they’ve managed to achieve GPT-4 level performance at a fraction of …

The Copilot Pattern represents a significant shift in software architecture, enabling the creation of AI-enhanced applications that can understand and assist with complex tasks.

The AWS Trainium2 itself represents a significant advancement in AI chip technology. Its focus on scalability, performance, and energy efficiency positions it as a strong contender in the AI hardware …

Listen to the podcast on this blog In past blogs, we discussed data science, artificial intelligence, and how they affect business and technology. We covered the changes in data platforms, …

Large Language Models (LLMs) like GPT have transformed how we interact with and leverage AI. While these models have shown impressive capabilities across various tasks, the need for industry-specific LLMs …

At the end of 2024, while 5G networks continue to roll out globally, researchers and industry leaders are already setting their sights on the next generation of wireless technology: 6G. …

This blog follows up on the previous and examines the potential of artificial intelligence (AI) to drive global network traffic growth. We explore the categorization of AI-generated traffic, its impact …

Join my team at AWS for an enlightening event that explores the intersection of GenAI development and inclusivity. Experience real-life demos of GenAI applications created by diverse builders. Engage in …

The Generative AI (GenAI) landscape is rapidly evolving, and the cloud-native GenAI stack is the foundation for building, deploying, and scaling these powerful AI models. This blog dives into the …

The rise of Generative AI models is fueling a surge in building multi-tenant chatbots. These chatbots can be customized for each client (tenant) with their specific needs and data, while …