Anyone can build an AI assistant! - AMA

With all the LLM models and APIs out there, it's easier to build an AI assistant. There are functional ML aspects to consider, such as data chunking and managing context windows. But there's also another crucial side to it—how do you build an AI assistant that's secure, accurate, doesn't produce unreliable outputs, and handles private data effectively? With my experience as an ML engineer at QueryPal, I can help you answer any of your questions.