Lex Fridman Podcast
#416 – Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI
Yann LeCun
And then you train a predictor on top of those encoders to predict the representation of the full input from the representation of the corrupted one. So joint embedding, because you're taking the full input and the corrupted version, or transformed version, run them both through encoders, so you get a joint embedding.
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