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Gen AI safety problems force enterprises to upgrade AI audit measures
VB Event The steady drumbeat of big mistakes by customer support AI agents, for example from big names like Chevy, Air Canada, and even New York City, has brought a renewed focus on the need for more reliability. If you’re an enterprise decision maker involved in building generative AI apps and strategy and you are having a […]
This, together with advances by other providers, including Meta (Llama 3), Anthropic (Claude) and Inflection (and its new empathy-driven AI), makes staying up with accuracy, privacy and other auditing needs challenging. It turns out that even grounding techniques like retrieval augmented generation (RAG), and extended context windows, and system prompts aren’t enough to mitigate mistakes. Don’t miss this essential gathering for enterprise AI decision-makers who are seeking to lead with integrity in the digital age.
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