The Wonders of Pre-Trained AI Models
Large Language Models (LLMs) are transforming software development, but their newness and complexity can be daunting for developers. In a comprehensive blog post, Matt Bornstein and Rajko Radovanovic provide a reference architecture for the emerging LLM application stack that captures the most common tools and design patterns used in the field. The reference architecture showcases in-context learning, a design pattern that allows developers to work with out-of-the-box LLMs and control their behavior with smart prompts and private contextual data.
"Pre-trained AI models represent the most significant architectural change in software since the internet."
Matt Bornstein and Rajko Radovanovic
AI News Without the Hype – Curated by Humans
As a THE DECODER subscriber, you get ad-free reading, our weekly AI newsletter, the exclusive "AI Radar" Frontier Report 6× per year, access to comments, and our complete archive.
Subscribe nowAI news without the hype
Curated by humans.
- Over 20 percent launch discount.
- Read without distractions – no Google ads.
- Access to comments and community discussions.
- Weekly AI newsletter.
- 6 times a year: “AI Radar” – deep dives on key AI topics.
- Up to 25 % off on KI Pro online events.
- Access to our full ten-year archive.
- Get the latest AI news from The Decoder.