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Foundation models deliver impressive out-of-the-box performance for general tasks, but many organizations need models to consume their business knowledge. Model customization helps you bridge the gap between general-purpose AI and your specific business needs when building applications that require domain-specific expertise, enforcing communication styles, optimizing for specialized tasks like code generation, financial reasoning, or ensuring compliance with industry regulations. The challenge lies in how to customize effectively. Traditional supervised fine-tuning delivers results, but only if you have thousands of carefully labeled examples showing not just the correct final answer, but also the complete reasoning path to reach it.…

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