#416 – Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI

5430.4 - 5456.968 Yann LeCun

The problem with this is if the space of Y is large, the number of such contrasting samples you're going to have to show is gigantic. But people do this. They do this when you train a system with RLHF. Basically what you're training is what's called a reward model, which is basically an objective function that tells you whether an answer is good or bad. And that's basically exactly what