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Turbocharging premium audit capabilities with the power of generative AI: Verisk’s journey toward a sophisticated conversational chat platform to enhance customer support

AWS Machine Learning Blog

The company is committed to ethical and responsible AI development with human oversight and transparency. Verisk is using generative AI to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles. This analysis helps pinpoint specific areas that need improvement.

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5 Levels in AI by OpenAI: A Roadmap to Human-Level Problem Solving Capabilities

Marktechpost

In an effort to track its advancement towards creating Artificial Intelligence (AI) that can surpass human performance, OpenAI has launched a new classification system. According to a Bloomberg article , OpenAI has recently discussed a five-level framework to clarify its goal for AI safety and future improvements.

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Building better datasets with Snorkel Flow error analysis

Snorkel AI

We plan for multiple rounds of iteration to improve performance through error analysis, and the Snorkel Flow platform provides tools to enable this kind of iteration within the data-centric AI framework. Traditional, model-centric AI development focuses its iteration loop on the model itself. Auto-generated tag-based LFs.

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Building better datasets with Snorkel Flow error analysis

Snorkel AI

We plan for multiple rounds of iteration to improve performance through error analysis, and the Snorkel Flow platform provides tools to enable this kind of iteration within the data-centric AI framework. Traditional, model-centric AI development focuses its iteration loop on the model itself. Auto-generated tag-based LFs.