← LLM benchmark evaluation
What podcasts say about LLM benchmark evaluation
Every statement, with the speaker, the exact quote and the moment it was said.
What experts have said about LLM benchmark evaluation
1 statement · 1 positive
Fair LLM evaluation requires benchmarks created after deployment cutoff dates.
“the only fair way to evaluate an LL is to have a new benchmark that is after the cutoff date when the LLM was deployed.”
Open the episode · #490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGIListen at 2:01:48
Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.