Rayhane Mama

Deep Learning Engineer!

[Rayhane Mama @RayhaneMama]

Speech to Speech models are about to get more impressive!

More at: https://t.co/8FQYcSRgaw

[Ragavan Thurairatnam @RagavanThurair]

Meet Dessa, our AI model trained from scratch on nothing but speech.

We believe speech is the natural interface for technology. So we built Dessa.

And we’re inviting AI safety researchers to explore Dessa.

Learn more: https://t.co/6wA8KhWdjn

[AI at Meta @AIatMeta]

(1/4) Last year, we introduced GSLM, the 1st language model that generates expressive speech using only raw audio recordings as input, breaking free dependence on text for training. Today, we’re sharing 3 research milestones: https://t.co/U0IebF9v5B

[Rayhane Mama @RayhaneMama]

Happy to finally share our work!

Joint collaboration with Louay Hazami and Ragavan Thurairatnam.

Efficient-VDVAE obtain SOTA log-likelihood on 7 commonly used image datasets. We make an argument against 5-bit benchmarks and lay some ground work for downstream tasks with HVAEs.

[AK @_akhaliq]

Efficient-VDVAE: Less is more
abs: https://t.co/uNtYzgHHAj
github: https://t.co/kJNbAKJ0I8

simple modifications to the Very Deep VAE to make it
converge up to 2.6�� faster, save up to 20× in memory load and improve stability during training