"AI architecture"

Since LLMs can now automatically rewrite our inputs into clear, effective prompts, the main complexity lies in shifting the levels.

Before Cook bows out after an undeniably successful tenure at Apple's helm, there's one final thing he'll want to tick off his to-do list.

Perplexity is shifting how some sensitive AI data is stored, balancing processing between local silicon and cloud servers.

Let’s think about centralized intelligence assumptions, advocating collaborative, decentralized, biologically inspired agent ecosystems inst...

The organizations that will derive the most value from AI over the next several years will not necessarily be the ones with the largest mode...

The future of AI in banking and finance is hybrid and custom. That is not an opinion. It is a necessity.

The narrative that RAG is dead has been repeated by enough credible voices that many engineering leaders have started to believe it.

AI will transform the world. But its most important limits may not be technical.

While the model is often the first suspect for AI pilots stalling, the architecture is the more likely culprit.

For eDiscovery, it's important to understand which problems foundation models solve brilliantly and which problems require purpose-built app...

Whether data has been certified for the purpose it now serves must be addressed at the same architectural level as the semantic layer.