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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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ANDREJ KARPATHY WAS RIGHT. THIS 40-MINUTE Y COMBINATOR LECTURE PROVES IT we're in the 1960s of LLMs most people using Claude have the wrong mental model Software 3.0. LLMs as operating systems how to actually think about and work with them save this 👇
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