From the hub
Oct 12, 2026
Learn how supervised, unsupervised, and reinforcement learning differ, where each shines, and how product teams use them in search, recommendations, fraud detection, and control systems.
Oct 5, 2026
AI systems need a clear plan for uncertainty. Learn how to detect low confidence, route to safer responses, escalate to humans, and preserve user trust.
Sep 28, 2026
Learn a practical prompting workflow that uses roles, clear constraints, good examples, and simple evaluation loops to get more reliable AI outputs.
Sep 21, 2026
Learn how fine-tuning, instruction tuning, and retrieval differ for adapting AI systems to specialized domains, and when each approach is the best practical choice.
Sep 14, 2026
A practical guide to testing AI assistants with real tasks, measurable success criteria, and repeatable benchmarks so you can compare systems beyond subjective impressions.
Aug 31, 2026
Trustworthy AI UX is built through clear disclosure, verifiable citations, calibrated uncertainty, and meaningful user control. Here’s how to design interfaces people can understand and trust.
Aug 24, 2026
An AI agent is software that can pursue a goal by choosing actions, using tools, and adjusting based on results. Here’s how that differs from a chatbot workflow.
Aug 17, 2026
Synthetic data can speed up AI development, protect privacy, and fill data gaps. But it can also amplify bias, drift from reality, and create false confidence if used carelessly.
Aug 10, 2026
A practical guide to selecting AI models for production by balancing latency, output quality, and operating cost with benchmarks, guardrails, and deployment tactics.
Aug 3, 2026
LLM hallucinations show up in predictable ways: fabricated facts, wrong citations, brittle tool use, and overconfident answers. Learn the common patterns and concrete mitigation strategies that work in real apps.
Jul 27, 2026
Multimodal AI combines text, images, audio, and more so systems can understand and generate across different forms of information. Here’s how it works and where it’s going next.
Jul 20, 2026
Retrieval-augmented generation, or RAG, helps AI answer with current, specific information by looking up relevant documents before responding. Here’s how it works, when it helps, and when prompt-only is enough.
Jul 16, 2026
A practical guide for product teams on building safer AI features with guardrails, abuse response workflows, and monitoring that helps you catch problems early.
Jul 9, 2026
Well-designed AI personas can make assistants easier to use, but only if they clearly separate style from capability. Learn practical ways to set expectations, add guardrails, and keep trust intact.
Jul 2, 2026
Learn when AI apps should use deterministic links and when model-generated links make sense, plus how to design safer navigation, better UX, and fewer broken paths.