A 30-minute deep-dive into the building of the Rosenbot. We’ll get both hands-on practical and likely a bit philosophical. What does it take to build a useful AI assistant? What does it mean for a business, strategically? And how do we make sure we are building the future that we want, while doing all this?

Take-aways:

• What does strategy look like in an AI world?
• What does eval-first mean?
• What the hell is going on deep inside an LLM?
• And what does all that mean for the future we want to build?