Tagged: AI architecture

3 articles on ai architecture.

Vision + Language: How Multimodal LLMs Actually Work (And When to Use Them)

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, shapes every other technical choice in your build.

EngineeringRead more →
When to Look Beyond Standard LLMs (And When to Stop Overthinking It)

When to Look Beyond Standard LLMs (And When to Stop Overthinking It)

Most teams should use a frontier API and move on. There are specific situations where alternative architectures matter: extreme latency, long-context scale, cost walls, privacy constraints. The decision framework.

EngineeringRead more →
When Recommendations Meet Language: The LLM-RecSys Convergence

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. The implications for domain-specific AI are significant.

EngineeringRead more →