Generative AI
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The LLM Mirage: Why Dazzling Prototypes Often Crumble in Production
Many organizations find that promising LLM prototypes struggle in real-world applications. This blog post examines the challenges that arise when moving from AI prototypes to production systems. We discuss key issues including scaling difficulties, data privacy concerns, and system reliability problems. Learn how to bridge the gap between prototypes and production, and discover approaches to ensure successful deployment of AI technologies in your organization. Gain practical insights for overcoming common pitfalls and developing robust, valuable AI systems that meet real-world business needs.
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