How do you choose the foundation model for your Generative AI App — like your car?

How do you choose the foundation model for your Generative AI App — like your car?

Just published a new blog post on medium:

😎 How do you choose the right foundation model for your Generative AI app? 💡 It’s like picking the perfect car!  🚗 Just like car buyers care more about features, price, and user experience, Generative AI app users prioritize functionality, cost, and ease of use over the specific model under the hood.  👷‍♂️ Building a successful Generative AI app requires a well-architected, cost-effective solution that meets customer needs, not just chasing the latest, most powerful model.  🧠 Models are crucial, but they’re just one component. A robust architecture with components like data management, model orchestration, and user interfaces is essential.  💰 Cost-effectiveness matters. Choose the “Goldilocks” model that’s good enough for your use case, not overpowered (and overpriced).  ⏱️ Models evolve rapidly. Your app architecture and processes must allow seamless model updates or replacements to stay competitive.  🧩 Embrace model composability. Use different models for different tasks within your app for optimal cost and performance.  🛣️ Just like cars, Generative AI apps aren’t one-size-fits-all. Tailor your solution to your specific use case and customer needs.  🚀 Don’t get caught up in the hype. Work backward from customer problems to build fantastic, innovative solutions with Generative AI.  🎉 Enjoy the ride and have fun building your Generative AI app! It’s an exciting journey ahead.

This summary of my blog post has been created with Anthropic’s Claude Sonnet via Amazon Bedrock. I will add the link to the blog post on medium in the comments. I hope you enjoy the read! Let me know what you think!

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