At the AI Engineer 2024 conference, the closing keynote brought together the six authors of the O'Reilly article 'Applied LLMs' for a special double-feature session. The talk, titled 'What We Learned from a Year of LLMs,' offered a retrospective on building and deploying large language models in real-world settings.
Because the session was a single keynote, there is no second source to compare against. The speakers' shared experience, however, represents a consolidated view from a group that has been closely tracking applied LLM practice over the past year.
Given the source material, the article cannot go into specific technical details beyond the title and framing. The significance lies in the synthesis: a year of lessons from multiple practitioners, presented as a closing reflection for an audience of AI engineers.