Vamsi Chemitiganti

The race for AI dominance is on, and it’s turning into a high-stakes spending war. As 2024 unfolds, the sheer scale of investment in Large Language Models (LLMs) and AI…

This post delves into the key technical innovations, challenges, and emerging trends, providing a deeper understanding for a technical audience.

The emergence of Deepseek’s efficient LLM architecture isn’t just disrupting the AI landscape—it’s fundamentally challenging the industry’s core assumptions about computational requirements and investment scales. Let’s analyze the market implications…

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 cost and computational resources typically associated with such advanced AI systems.

The intersection of finance and technology has never been more dynamic or crucial than it is today. That’s why we’re excited to launch “The FinTech CTO” podcast, your insider’s guide…

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 market

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…

In this blog, we consistently highlight industry-leading principles from web scale practitioners such as Adobe, which form a robust foundation for constructing scalable, flexible, and future-proof CI/CD infrastructure.