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There's a pivotal shift happening in AI: agentic workflows By leveraging iterative processes, agentic workflows vastly improve AI applications' efficiency and performance. This approach goes beyond theory; practical applications in coding and video transcription are already proving its worth. Imagine writing code that automatically corrects itself—it's not just faster, it's smarter. Andrew Ng's examples shared at the recent Snowflake Summit Summit make it clear that AI's role in data and technology is only getting started. Ng also mentions open-source contributions, emphasizing their crucial role in advancing AI. Open-source fosters collaboration and speeds up innovation, making sophisticated AI accessible to more developers. This is where Nimble steps in. Our APIs are designed for flexibility and power, allowing developers to harness the full potential of AI and external data collection.

Thanks for sharing this informative post! Agentic workflows and open-source collaboration are the future of AI.

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