Tagged: AI architecture
3 articles on ai architecture.
Vision + Language: How Multimodal LLMs Actually Work (And When to Use Them)
Multimodal LLMs integrate vision through two fundamentally different architectures. Knowing which one you need — and why — is the decision that shapes every other technical choice in your build.
EngineeringRead more →
When to Look Beyond Standard LLMs (And When to Stop Overthinking It)
Most teams should use a frontier API and move on. But there are specific situations — extreme latency, long-context scale, cost walls, privacy constraints — where alternative architectures actually matter. Here's the decision framework I use.
EngineeringRead more →
When Recommendations Meet Language: The LLM-RecSys Convergence
Most AI stacks treat the recommendation engine and the language model as two separate systems that hand off to each other. A new class of hybrid models eliminates that seam — and the implications for domain-specific AI are significant.
EngineeringRead more →