The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton
Arvind Narayanan
And the reason for that is simply that when there is so much pressure to do well on these benchmarks, developers are intentionally or unintentionally optimizing these models in ways that look good on the benchmarks, but don't look good in real world evaluation.
0
💬
0
Comments
Log in to comment.
There are no comments yet.