Charles was part of a panel discussion titled What We Learned From A Year of Building With LLMs at the AI Engineer World’s Fair. The discussion covers what it takes to build LLM applications effectively, from tactical techniques like effective prompting and retrieval methods to operational considerations such as who to hire and when, as well as the processes to implement. At a strategic level, it delves into investment decisions—when and whether to pursue fine-tuning—and how to approach product-market fit. These insights are drawn from lessons we’ve learned over the past year of working with this technology.

Neo4j devhub: https://bit.ly/4ghZuIk