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Explore the practical differences between AI workflows and agents in this 44-minute conference talk that cuts through the hype to reveal what actually works in real-world applications. Discover why agents aren't always the optimal solution and learn when workflows might be more appropriate for your specific use cases. Examine how fine-tuning techniques can significantly improve AI system performance and understand the critical role of careful evaluation in building reliable AI solutions. Gain insights into effective tool design principles and calibration methods that enhance the trustworthiness of AI systems. Learn to make informed decisions about when to implement agents versus workflows based on practical considerations rather than industry buzz, with expert guidance on building more reliable and effective AI implementations.
