Halucinácie AI môžu narobiť viac škody ako úžitku, najmä pri dôležitých rozhodnutiach. Pomôcť môže použitie RAG (retrieval-augmented generation), kde model pracuje s overenými zdrojmi. Ďalej nastavenie guardrails obmedzí možné chyby
AI hallucinations can quietly erode your agency’s client trust and cost more than you think—up to $67.4 billion annually across industries. These glitches muddle client deliverables and eat up 4.3 hours weekly on fixes
Desde el 14 de agosto de 2026, Claude Code en las versiones Pro, Max y Team activará el modo auto por defecto logrando un bloqueo automatizado del 89%, mucho más eficiente frente al 13,6% mediante revisión humana
AI features are reshaping product roadmaps in 2026. With tools like MCP hitting 97 million monthly SDK downloads by March, it’s clear users are eager to engage. For product managers, the challenge is shipping AI that feels seamless and genuinely helpful
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Desde el 14 de agosto de 2026, Claude Code activará el modo auto por defecto en Pro, Max y Team. Esta actualización reduce bloqueos manuales al 13.6% frente a un 89% automático mejorando la velocidad de revisión
Halucinácie AI môžu spôsobiť nepresné alebo vymyslené odpovede, čo znižuje dôveru v systém. Na ich minimalizáciu pomáha využitie RAG (retrieval-augmented generation), kde model čerpá z overených zdrojov
Halucinácie v AI môžu výrazne znížiť dôveru v výsledky. Na ich zmiernenie pomáha použitie RAG (retrieval-augmented generation), kde model čerpá z overených zdrojov. Zavádzanie guardrails, teda pravidiel na filtrovanie odpovedí, znižuje riziko nepresností