TypeSafe recommends fanning out and asking everything in one call, on the grounds that the extra questions are nearly free. I could not find anyone who had checked whether the answers survive it, so I ran 250 calls.
A deep dive into how synonym-based query expansion improves search results in LLM-powered apps and enterprise tools. Real-world cases, design patterns, and tradeoffs.
Part three in my prompt engineering series — this time we explore chain-of-thought prompting, where structured reasoning turns LLMs from guessers into guided problem solvers.
The first post in a series on prompt engineering — this one explores zero-shot prompting: the cleanest way to get results from LLMs without examples, training, or fine-tuning.
A developer-friendly look at the Interface Segregation Principle in C#, showing how to design clean, focused interfaces without forcing classes to implement what they don't need.
A practical guide to the Liskov Substitution Principle in C# with real-world examples, helping you avoid sneaky inheritance bugs and unexpected side effects.
A deep dive into how AI models like GPT-4V and CLIP process images, bridging the gap between vision and language with Transformers and multimodal learning.
A practical, easy-to-understand guide on Large Language Models (LLMs) and Transformers—how they work, why they matter, and how they impact modern software development.
Explore how React Query simplifies backend state management in React applications, reducing boilerplate and improving your app’s maintainability—without Redux.
A deeper look at DeepMind’s Gemma 3 — a powerful, multimodal AI model that handles long contexts, over 140 languages, and runs efficiently on a single GPU. What makes it different, and why should you care?
A quick, practical look at how Kahn’s Algorithm can prevent runaway cycles by neatly ordering tasks and modules. Learn how to spot circular dependencies, fix them, and keep everything running smoothly.