<ul data-eligibleForWebStory="true"><li>Using third-party, closed-source AI models through APIs offers speed and convenience, but can become expensive with potential limitations in customization and vendor lock-in.</li><li>Fine-tuning an open-source model provides more control and customization, especially beneficial for niche fields, improved data privacy, and potential cost-effectiveness in the long run for specific tasks.</li><li>Building a foundational model from scratch is a significant investment requiring vast resources, suitable mainly for very few companies with the capability and resources to do so.</li><li>Product managers play a crucial role in deciding whether to Build, Buy, or Fine-tune AI models based on factors like cost, control, customization, and business goals.</li><li>The decision on AI strategy should align with the product's objectives and user needs, guided by understanding the advantages and disadvantages of each approach.</li></ul>

Build, Buy, or Fine-tune? Making the Right AI Call as a Product Manager

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