Over the last couple of days, my LinkedIn feed has been flooded with euphoric posts about “Code AI” and “local coding assistants”. Screenshots of terminals, bold claims about productivity exploding, and the familiar undertone that if you are not running an LLM locally via Ollama, OpenCode, or Copilot, you are already falling behind. I know […]
Running Code AI Locally: An Engineering Reality Check Weiterlesen »
Why the future of AI depends on more than fancy prompts and flashy demos? A Useful Tool—But Not a Mastermind Let’s start here: I use GenAI every day. It drafts outlines, rewrites emails, summarizes documents, and helps me explore code ideas at 2 a.m. when my brain stalls. I value the convenience, the speed, the
GenAI Is the Loudest Kid in Class—Not the Smartest Weiterlesen »
The AI landscape is undergoing a seismic shift, and at the epicenter is DeepSeek—a $6M Chinese AI startup that has achieved what Silicon Valley deemed impossible. In doing so, it has wiped $2 trillion off the market capitalization of U.S. tech stocks, with NVIDIA alone losing over $500 billion. This is not just a story
The $6M AI Startup or how to erase $2 Trillion worth of Market Cap Weiterlesen »
In the landscape of AI and machine learning, Amazon Web Services (AWS) has introduced two major services—SageMaker and Bedrock—that cater to the needs of developers and businesses seeking to deploy machine learning (ML) models at scale. Although both services enable the integration of AI into various applications, their use cases and functionalities differ significantly, warranting
Navigating AWS SageMaker and Bedrock: Understanding Their Differences and Use Cases Weiterlesen »