Just dropped a new blog post where we share insights gained while building LLM/GenAI software with our partners.
One key takeaway? A lot of folks who aren't too tech-savvy think building a GenAI app is just about taking a foundational model and slapping on a UI. Spoiler: it's way more complicated than that.
We also dive into how you can really mess up your app by letting the foundational model auto-update or not load-balancing across multiple Azure OpenAI instances.
Swing by to check out these insights and more on the do's and don'ts of GenAI development."
We've been hands-on with GenAI app development and wanted to share the essentials of what makes them tick. This blog post is a no-nonsense breakdown of the key components needed for a successful GenAI system.
What's your take on this? Are there additional elements you consider vital in your GenAI projects?