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As generative AI transforms industries, companies must navigate the hype and technical hurdles to build effective AI applications. This e-book from Hound Technology outlines 8 best practices for successful generative AI solutions.

Key highlights include:

• Setting realistic expectations for AI's augmentation vs. automation
• Leveraging software engineering practices like testing, monitoring, and debugging
• Investing in data quality for high-quality AI outputs
• And more

Follow these practices to build reliable, user-friendly generative AI applications. Read the e-book to learn more.