Full-stack approach for effective AI agents
Practical AI
Building Robust AI: Challenges and Strategies
This chapter explores the complexities of developing effective AI agents in enterprise settings, highlighting the gap between initial success and practical application. It emphasizes the importance of domain expertise, rigorous evaluation, and a holistic understanding of AI systems for achieving reliability and better performance. The discussion includes strategies for robust system design, hyperparameter tuning, and the value of high-quality data over model size in training foundation models.
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