AI system
The working thing a client actually uses. A model on its own does nothing: it needs somewhere to run, something feeding it inputs, rules about what happens to its outputs, a store of knowledge to check against, and a person with authority to approve or reject what it produces. The system is all of that assembled. When automation goes wrong it is rarely the model that failed. It is the wiring around it.
Attention Is All You Need – why transformers changed artificial intelligence
…machine translation, speech recognition and text analysis. They powered many of the AI systems in use before the era of generative AI. Despite their success, LSTMs had a fundamental limitation. They still processed data sequentially — word by word. That capped…
Who Answers for What AI Does?
…supervision and prevention more important than trying to establish whether an AI system itself had malicious intent. Current Australian law already provides several routes for addressing harms caused by AI. Depending on the circumstances, privacy law,…
AI Writes for Everyone. The Edge Is Elsewhere.
…to ask, "How do we rank for this keyword?" Brands now need to ask, Why would an AI system trust our content enough to use or reference it as a source? This heavily favors content with undeniable substance: original research, first-hand experience, expert…