Your LLM Stack Is a 2008 Database With Better Marketing — Lovina Dmello, NVIDIA
This talk argues that current Large Language Model (LLM) stacks are fundamentally similar to 2008-era databases but with more sophisticated marketing. It suggests that the underlying principles and challenges of managing and utilizing LLMs are not as novel as often portrayed, drawing parallels to the evolution and limitations of database technology. The core thesis is that a deeper understanding of these parallels can lead to more effective and realistic approaches to building with LLMs.
21 min