Implementing and Integrating Foundation Models in AI Applications
Building AI applications with foundation models is about working smarter, not harder. It’s about moving beyond simple API calls and making practical engineering decisions that…
Category: AI Engineering
Designing AI Applications with Foundation Models
Building solid AI applications with foundation models takes practical knowledge that helps engineers avoid common pitfalls like high inference costs, unpredictable performance, and security vulnerabilities.…
Understanding Foundation Models for AI Application Development
Understanding Foundation Models for AI Application Development Foundation models (FMs) really change how we build AI applications. They let you develop things faster and more…
What is AI Engineering, as Defined by Chip Huyen, and Why Does it Matter?
AI Engineering, as defined by Chip Huyen, offers a method for building AI systems that starts with defining product requirements and adapting models to meet…
Understanding Spec-Driven Development (SDD) for AI Agents
From ‘Vibe Coding’ to Predictable AI: Why SDD Matters Spec-Driven Development (SDD) is changing how engineers build software with AI agents. Instead of the ‘vibe…