AI Engineer 2024 Keynote - What We Learned from a Year of LLMs
Eugene Yan
The author and co-authors delivered a closing keynote at AI Engineer World's Fair 2024 about lessons learned from building with large language models, using a paired speaker format with six speakers total. The keynote was structured as 2x2x2 (pairs speaking on different topics) rather than a traditional panel, which required significant coordination but resulted in higher signal-to-noise. The author also hosted a fireside chat with GitHub CEO Thomas Dohmke on the topic of copilots, stepping in as a replacement host for the conference organizer.
Why it matters
Special double-feature closing keynote from the 6 authors of the hit O'Reilly article on Applied LLMs.
