Post-training means everything else: SFT, DPO, RL, etc. Anything that involves things like prompt/response pairs, reward models, or benefits from human feedback of any kind.

> I hope you are able to see the distinction I am trying to point out. In no sense do I advocate evading or defying the law, as would the rabid segregationist. That would lead to anarchy. One who breaks an unjust law must do so openly, lovingly, and with a willingness to accept the penalty. I submit that an individual who breaks a law that conscience tells him is unjust, and who willingly accepts the penalty of imprisonment in order to arouse the conscience of the community over its injustice, is in reality expressing the highest respect for law.

I always have to go back to read this part again because I feel like it's so unexpected. You don't really hear anyone saying quite the same thing today.

https://modelcontextprotocol.io/specification/2025-03-26/arc...

This project appears to make use of both vLLM and Inference Gateway (an official Kubernetes extension to the Gateway resource). The contributions of llm-d itself seems to mostly be a scheduling algorithm for load balancing across vLLM instances.

https://en.m.wikipedia.org/wiki/Dunning%E2%80%93Kruger_effec...

I do see other graphs that tell a different story. Namely, that confidence is a monotonically increasing function of competence. If the data supports the idea that there is a valley of despair where confidence decreases as competence increases, I must be missing it.

Also, I think a list made today would have to include some of the early work on deep learning that happened in the 20th century. Which goes to show that sometimes you don't know what's important until much later on.