Amazon adds tools for scaling generative AI applications — and improving accuracy issues

Amazon is adding more ways to make generative AI applications easier to create, more useful to adopt, and potentially more accurate.

Amazon Web Services yesterday used its AWS Summit New York event to announce new ways to make enterprise-grade AI apps while also improving the accuracy of large language models — a key hurdle for attracting companies wary about “hallucination” issues with various LLMs.

One addition is contextual grounding checks, a technique for evaluating AI-generated answers by cross-referencing source material in real time. Because different companies might have different tolerances for accuracy based on their industry and types of data, grounding checks will also measures relevance in order to block answers based on a company’s tolerance level. 

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