Designing an AI-powered content optimization system using LLMs on AWS
Modern applications are no longer just about functionality — they are expected to be intelligent, adaptive, and personalized.Continue reading on Medium »
Modern applications are no longer just about functionality — they are expected to be intelligent, adaptive, and personalized.Continue reading on Medium »
Amazon SageMaker AI now includes an AI agent designed to help developers customize language models.
The article Amazon brings agentic fine-tuning to SageMaker with support for Llama, Qwen, Deepseek, and Nova appeared first on The Decoder.
The U.S. Department of Defense has signed agreements with Nvidia, Microsoft, Amazon Web Services, and Reflection AI, granting access to their AI technologies on classified networks for lawful operational use. The deals follow earlier agreements with Google, OpenAI, and SpaceX, and reflect the Pentagon’s push to build a broad, vendor-diverse AI architecture for military operations. […]
AI, Cybersecurity, and the Rise of Algorithmic WarfareAs AI accelerates both protection and threat, organizations face a new era of…Continue reading on Medium »
Comparing LoRA, QLoRA, & full fine-tuning approaches with cost analysis!Image by Author!The present & future of LLMs is more towards Specialization instead of Generalization. Even though there are many LLMs available, in most of the cases, you …
Over the weekend, I kept coming back to a simple thought.Continue reading on Medium »
The deals come as the DOD has doubled down on diversifying its exposure to AI vendors in the wake of its controversial dispute with Anthropic over usage terms of its AI models.
Big tech keeps pouring more money into AI data centers, chips, and infrastructure. According to the Financial Times, Google, Amazon, Microsoft, and Meta have a combined budget of around $725 billion for next year.
The article Big tech's A…
How the End of Microsoft’s Exclusive Cloud Rights Reshapes Enterprise AI Infrastructure Decisions — and What CTOs Should Do in the Next 90…Continue reading on Towards AI »
Every cloud beat. Every capex forecast rose. That is the two-sentence summary of the biggest earnings day of 2026, and it tells you almost everything you need to know about where Big Tech’s AI infrastructure spending actually stands right now. Microsoft, Alphabet, Meta, and Amazon collectively committed somewhere between US$630 billion and US$650 billion in […]
The post Big Tech just proved AI infrastructure spending works. Then it raised the bill anyway appeared first on AI News.