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Learn how to evaluate your AI agents on #AmazonSageMakerAI with Deepchecks 🧪👾🚢 https://go.aws/4hmQV0u As organizations transition from LLM prototypes to production-scale AI agents, ensuring reliability & transparency becomes critical. Join our #AWS partner webinar with Deepchecks on November 12th at 8AM PST to explore building trustworthy AI systems using Amazon SageMaker. #agenticAI

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Philip Tannor

CEO at Deepchecks | Forbes 30 Under 30 | Open Source ML Validation package

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Looking forward!

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Nishkam Batta

Dare us: AI saves $23K/yr or you don’t pay | For companies 11+ employees in US/Canada | See how we saved 80 hrs/mo for Yacht Network — case study below | Warning: AI wins are addictive

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Thank you for sharing this insightful webinar opportunity on evaluating AI agents with Amazon SageMaker and Deepchecks. The focus on ensuring reliability and transparency as organizations scale AI agents is particularly compelling. How do you foresee these evaluation frameworks adapting as agentic AI systems become more autonomous and complex in production environments?

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