🔗 Developing Rapidly with Generative AI

Generative AI is attracting attention as the technology has progressed in leaps and bounds in recent years, offering fresh ways to solve user problems. Since it's a relatively new area in terms of its practical application, figuring out how to start building with LLMs (large language models) can be challenging. We're excited to share our approach for solving problems with generative AI, along with insights on rapidly launching new features leveraging this technology.

We break down the process of building with LLMs into a few stages. Starting with product ideation and defining requirements, we first need to figure out what we're building and how it can benefit users. Next, we develop a prototype of our idea, learn from small-scale experiments, and repeat that process until our feature is in a good state. Finally, we fully launch and deploy our product at scale. In this post, we will dive deeper into each stage of this process.

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