Session: Imagined Dragons: Building an Imagination-Powered Music Recommendation Platform
The Artificial Intelligence landscape is a wild, rapidly developing frontier with some unique challenges. The most sophisticated and capable models are controlled by a handful of companies, gated behind waitlists, and the costs of training and running your own large language models (LLMs) are prohibitive.
But this doesn’t mean we can’t have a little fun with them right now and develop open source tooling to help the rest of the community explore their capabilities. We’re already starting to see how more tools, and more education, lead to more innovation and a future where open, cheap LLMs will be available to everyone.
In this talk, we’ll walk through the process of harnessing an LLM’s imagination and empowering it with knowledge and tools from the real world to perform one of the most delicate human tasks: creating mixtapes.
We’ll discover and discuss the subtle nuances of Prompt Engineering, learn how to manage and manipulate a chatbot’s memory, and create and hone open source tools that we can leverage with existing and future LLMs as we explore this new frontier.
