Building AI Assistants:

This post is a practical guide to making LLMs more reliable, based on a talk I recently gave at PyData London. I’ll walk you through a framework we use at ParsLabs to go from experiments to production.

In this post, you'll find practical advice on everything from problem definition and user research to advanced AI model training and continuous improvement. We'll explore why these often-overlooked aspects are crucial for success and how you can implement them in your own AI projects.

In this post, I’ll share my approach to testing AI Assistants, drawing from both 7 of experience working in Conversational AI space and insights from industry experts.