Language Manifold Control
Yannic discusses controlling language generation akin to GANs in faces, envisioning sliders for style adjustments. Connor highlights challenges in understanding latent directions for language models, emphasizing the need for further development and handling vast corpora complexities.In this clip
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Machine Learning Street Talk (MLST)
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Related Questions
How does the development of language models like GPT-2 compare to advancements in GANs?
How does the ability to generate language compare with the advances made in GANs, as discussed in the episode Ilya Sutskever: Deep Learning | Lex Fridman Podcast #94 and the clip Surprising Success of GPT-2?
How does the development of language models like GPT-2 compare to advancements in GANs, based on the episode Ilya Sutskever: Deep Learning | Lex Fridman Podcast #94 and the clip Surprising Success of GPT-2?