Do you remember that moment when I first tried to deploy a prediction model to production at AstrumU? It was a moment that filled me with excitement: after months of data exploration, feature engi...
How agent-first architecture is reshaping AI application development, and why traditional approaches fall short The AI application landscape is undergoing a fundamental shift. We’re moving from si...
Every RAG tutorial I’ve seen follows the same exhausting pattern: “First, set up Pinecone for vectors. Then PostgreSQL for metadata. Add Redis for caching. Deploy your API layer. Oh, and don’t forg...
The AI revolution isn’t just changing how we work—it’s creating an entirely new generation of AI-native users. These digital natives don’t just use AI tools; they think differently about problem-so...
Meet Bob and Sarah—two hardworking professionals navigating the AI revolution. Bob works as a social media coordinator, cranking out promotional content daily. When he heard AI could write copy “f...
The technology industry is captivated by the potential of AI agents—autonomous systems capable of reasoning, planning, and executing complex tasks. As companies rush to hire “AI Engineers” to devel...
Learn in Public means sharing your learning journey openly—writing notes, sharing insights, and teaching while you’re still figuring things out. Instead of waiting until you’ve “mastered” something...
Google’s latest announcements signal a profound shift in the AI industry. Here are the core implications for the future of technology and work: 1. AI as Infrastructure and Operating System Googl...
“Companies evolve from selling tools to selling outcomes and labor.” The traditional SaaS narrative has focused on efficiency. But as AI advances, the story is changing. We’re seeing a fundamenta...
Productionizing Machine Learning (ML) models effectively and at scale remains a significant challenge for many organizations. This article traces the architectural evolution of the MLOps platform a...