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Watch "Endless experimentation: Building AI models in the wild." This is a 50-minute, MIT lecture about problems when deploying models and LLMs in the real world and how to prepare to solve them. This is a great lecture for those building production machine learning.

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Santiago

448,135 subscribers

117,204 Aufrufe • vor 2 Jahren •via X (Twitter)

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10 Kommentare

Profilbild von Santiago
Santiagovor 2 Jahren

This is one of the lectures at @MITDeepLearning taught by the folks at @Cometml. If you prefer to watch on YouTube, here is the video:

Profilbild von John Shelburne
John Shelburnevor 2 Jahren

The growing lack of transparency with transformers is terrifying and also sad. The hardest to understand for me starts at embeddings and then I get lost with tokenization.

Profilbild von Immanuel
Immanuelvor 2 Jahren

Great video! Already downloaded. Will watch it soon.

Profilbild von Anton Ansalmar
Anton Ansalmarvor 2 Jahren

Thanks for sharing 👍

Profilbild von Felipe Clavijo
Felipe Clavijovor 2 Jahren

I’m always looking for your tweets. Your content helps me a lot. Thanks

Profilbild von Edmund Kudzayi
Edmund Kudzayivor 2 Jahren

Interesting talk. Yes, grading papers not a good idea but seems technically impossible, with some robustness even?

Profilbild von PYTHONIST
PYTHONISTvor 2 Jahren

I absolutely recommend it. I'm currently watching a video of GAN's in the deep learning series.

Profilbild von Elias
Eliasvor 2 Jahren

@threadreaderapp unroll

Profilbild von Thread Reader App
Thread Reader Appvor 2 Jahren

@svpino @theEliasRob Guten Tag, the unroll you asked for: Talk to you soon. 🤖

Profilbild von Altiam Kabir
Altiam Kabirvor 2 Jahren

Sounds like a valuable lecture for ML practitioners. Real-world deployment challenges are crucial to address.

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