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AI Agents for Data Analysis with Shreya Shankar - #703

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Building Fault-Tolerant Agentic Systems

This chapter explores the intricacies of developing agentic frameworks for data processing, emphasizing the need for fault tolerance and effective agent orchestration. It discusses the importance of precision, recall, and the creation of benchmarks tailored to data tasks, contrasting them with traditional ML challenges. The conversation also highlights recent innovations in AI models and data processing pipelines, addressing limitations and the necessity of human validation.

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