Generative AI isn’t just about writing prompts — real applications follow a clear lifecycle: defining a use case, selecting the right foundation model, improving performance, evaluating results, and deploying responsibly.
Understanding this lifecycle is key to building AI systems that are reliable, testable, and useful in the real world.
I’ve shared a concise breakdown of the Generative AI application lifecycle here
👉 Read more: https://hemaai.hashnode.dev/building-generative-ai-applications-the-right-way
Learning and sharing one concept at a time 🚀
Hemalatha Nambiradje
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Understanding the Generative AI Application Lifecycle
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