In Part 4 of our series on the AI Factory – https://www.vamsitalkstech.com/ai/industry-spotlight-engineering-the-ai-factory-inside-ubers-ai-infrastructure-part-2/ , we explored one of the most sophisticated implementations of an AI factory in production: Netflix’s machine learning…
Generative AI
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Agentic AIAIGenAIGenerative AI
BCG Survey – Agentic AI Reshaping IT Spending Priorities in 2025: Key Insights
A research report conducted just prior to the passing of US tariffs ) from the Boston Consulting Group (BCG) points to a notable increase in IT budgets for 2025, with…
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AIGenAIGenerative AI
Industry Spotlight – Engineering the AI Factory: Inside Uber’s AI Infrastructure (Part 2)
In Part 1 of our series –https://www.vamsitalkstech.com/ai/engineering-the-ai-factory-blueprint-for-industrial-scale-ai-infrastructure/ , we explored the foundational concepts of AI factories and their critical infrastructure components. I intend to do a series of blogs on…
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This blog has covered spending in hardware acceleration which only has grown due to the emergence of Agentic AI. Agentic AI, referring to AI systems that can act independently to…
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As telco networks become increasingly complex and automated, the industry faces a critical inflection point in artificial intelligence adoption. While AI promises to revolutionize network operations, customer service, and infrastructure…
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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…
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AIGenAIGenerative AI
The Evolution of Large Language Models in 2024 and where we are headed in 2025: A Technical Review
This post delves into the key technical innovations, challenges, and emerging trends, providing a deeper understanding for a technical audience.
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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…
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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.
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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.